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ORCIDAlan L. Yuille
Alan Loddon Yuille
Person information
- affiliation: Johns Hopkins University, Baltimore, MD, USA
- affiliation (former): University of California, Los Angeles, USA
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2020 – today
- 2024
[j114]Yu-Cheng Chou
, Bowen Li, Deng-Ping Fan, Alan L. Yuille, Zongwei Zhou:
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data. Mach. Intell. Res. 21(2): 318-330 (2024)- [j113]Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography. Medical Image Anal. 97: 103226 (2024) - [j112]Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Anal. 97: 103280 (2024) - [j111]Wenxuan Li, Chongyu Qu, Xiaoxi Chen, Pedro R. A. S. Bassi, Yijia Shi, Yuxiang Lai, Qian Yu, Huimin Xue, Yixiong Chen, Xiaorui Lin, Yutong Tang, Yining Cao, Haoqi Han, Zheyuan Zhang, Jiawei Liu, Tiezheng Zhang, Yujiu Ma, Jincheng Wang, Guang Zhang, Alan L. Yuille, Zongwei Zhou:
AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking. Medical Image Anal. 97: 103285 (2024) - [j110]Alicia M. Braxton, Ashley L. Kiemen, Mia P. Grahn, André Forjaz, Jeeun Parksong, Jaanvi Mahesh Babu, Jiaying Lai, Lily Zheng, Noushin Niknafs, Liping Jiang, Haixia Cheng, Qianqian Song, Rebecca Reichel, Sarah Graham, Alexander Damanakis, Catherine G. Fischer, Stephanie Mou, Cameron Metz, Julie Granger, Xiao-Ding Liu, Niklas Bachmann, Yutong Zhu, Yunzhou Liu, Cristina Almagro-Pérez, Ann Chenyu Jiang, Jeonghyun Yoo, Bridgette Kim, Scott Du, Eli Foster, Jocelyn Y. Hsu, Paula Andreu Rivera, Linda C. Chu, Fengze Liu, Elliot K. Fishman, Alan L. Yuille, Nicholas J. Roberts, Elizabeth D. Thompson, Robert B. Scharpf, Toby C. Cornish, Yuchen Jiao, Rachel Karchin, Ralph H. Hruban, Pei-Hsun Wu, Denis Wirtz, Laura D. Wood:
3D genomic mapping reveals multifocality of human pancreatic precancers. Nat. 629(8012): 679-687 (2024) - [j109]Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Tom Weidong Cai, Zongwei Zhou:
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6070-6081 (2024) - [j108]Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou:
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j107]Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan L. Yuille, Xiaohui Shen, Liang-Chieh Chen:
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories. Trans. Mach. Learn. Res. 2024 (2024) - [j106]Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Unleashing the Power of Visual Prompting At the Pixel Level. Trans. Mach. Learn. Res. 2024 (2024) - [j105]Wengang Zhou, Jiajun Deng, Niculae Sebe, Qi Tian, Alan L. Yuille, Concetto Spampinato, Zakia Hammal:
Guest Editorial Introduction to the Issue on Pre-Trained Models for Multi-Modality Understanding. IEEE Trans. Multim. 26: 8291-8296 (2024) - [c390]Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan L. Yuille, Tony Tung:
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction. AAAI 2024: 5298-5308 - [c389]Chen Wang, Angtian Wang, Junbo Li, Alan L. Yuille, Cihang Xie:
Benchmarking Robustness in Neural Radiance Fields. CVPR Workshops 2024: 2926-2936 - [c388]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CVPR Workshops 2024: 6571-6594 - [c387]Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan L. Yuille:
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. CVPR 2024: 6881-6891 - [c386]Zihao Wei, Chen Wei, Jieru Mei, Yutong Bai, Zeyu Wang, Xianhang Li, Hongru Zhu, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Masked Autoencoders are Secretly Efficient Learners. CVPR Workshops 2024: 7986-7995 - [c385]Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan L. Yuille, Chen Wei, Zongwei Zhou:
Towards Generalizable Tumor Synthesis. CVPR 2024: 11147-11158 - [c384]Yuanhao Cai, Jiahao Wang, Alan L. Yuille, Zongwei Zhou, Angtian Wang:
Structure-Aware Sparse-View X-Ray 3D Reconstruction. CVPR 2024: 11174-11183 - [c383]Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CVPR 2024: 12954-12966 - [c382]Shitian Zhao, Zhuowan Li, Yadong Lu, Alan L. Yuille, Yan Wang:
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-Modal Language Models. CVPR 2024: 13342-13351 - [c381]Chen Wei, Chenxi Liu, Siyuan Qiao, Zhishuai Zhang, Alan L. Yuille, Jiahui Yu:
De-Diffusion Makes Text a Strong Cross-Modal Interface. CVPR 2024: 13492-13503 - [c380]Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille:
A Bayesian Approach to OOD Robustness in Image Classification. CVPR 2024: 17459-17469 - [c379]Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros:
Sequential Modeling Enables Scalable Learning for Large Vision Models. CVPR 2024: 22861-22872 - [c378]Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille:
Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. EACL (1) 2024: 2378-2390 - [c377]Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Bingchen Zhao, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. ECCV (38) 2024: 239-258 - [c376]Artur Jesslen, Guofeng Zhang, Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski:
NOVUM: Neural Object Volumes for Robust Object Classification. ECCV (4) 2024: 264-281 - [c375]Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang, Xiaokang Yang, Zongwei Zhou, Alan L. Yuille:
Radiative Gaussian Splatting for Efficient X-Ray Novel View Synthesis. ECCV (1) 2024: 283-299 - [c374]Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille:
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. ICLR 2024 - [c373]Wenxuan Li, Alan L. Yuille, Zongwei Zhou:
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? ICLR 2024 - [c372]Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille:
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search. ICLR 2024 - [c371]Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Xiaoding Yuan, Yi Zhang, Zihao Xiao, Guofeng Zhang, Beijia Lu, Ruxiao Duan, Yongrui Qi, Adam Kortylewski, Yaoyao Liu, Alan L. Yuille:
Generating Images with 3D Annotations Using Diffusion Models. ICLR 2024 - [c370]Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie:
Rejuvenating image-GPT as Strong Visual Representation Learners. ICML 2024 - [c369]Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan L. Yuille, Kang Li, Zongwei Zhou:
Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts. ISBI 2024: 1-5 - [c368]Tiezheng Zhang, Xiaoxi Chen, Chongyu Qu, Alan L. Yuille, Zongwei Zhou:
Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training? ISBI 2024: 1-5 - [c367]Yu-Cheng Chou, Zongwei Zhou, Alan L. Yuille:
Embracing Massive Medical Data. MICCAI (1) 2024: 24-35 - [c366]Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan L. Yuille, Zongwei Zhou:
From Pixel to Cancer: Cellular Automata in Computed Tomography. MICCAI (1) 2024: 36-46 - [c365]Jiawei Peng, Ju He, Prakhar Kaushik, Zihao Xiao, Jiteng Mu, Alan L. Yuille:
Learning Part Segmentation from Synthetic Animals. WACV (Workshops) 2024: 80-91 - [c364]Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski:
Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis. WACV 2024: 3096-3105 - [c363]Jiahao Yang, Wufei Ma, Angtian Wang, Xiaoding Yuan, Alan L. Yuille, Adam Kortylewski:
Robust Category-Level 3D Pose Estimation from Diffusion-Enhanced Synthetic Data. WACV 2024: 3434-3443 - [i324]Jieru Mei, Liang-Chieh Chen, Alan L. Yuille, Cihang Xie:
SPFormer: Enhancing Vision Transformer with Superpixel Representation. CoRR abs/2401.02931 (2024) - [i323]Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille:
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. CoRR abs/2401.10848 (2024) - [i322]Junfei Xiao, Zheng Xu, Alan L. Yuille, Shen Yan, Boyu Wang:
PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter. CoRR abs/2402.10896 (2024) - [i321]Tiezheng Zhang, Xiaoxi Chen, Chongyu Qu, Alan L. Yuille, Zongwei Zhou:
Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training? CoRR abs/2402.19423 (2024) - [i320]Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan L. Yuille, Chen Wei, Zongwei Zhou:
Towards Generalizable Tumor Synthesis. CoRR abs/2402.19470 (2024) - [i319]Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang, Xiaokang Yang, Zongwei Zhou, Alan L. Yuille:
Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis. CoRR abs/2403.04116 (2024) - [i318]Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan L. Yuille, Zongwei Zhou:
From Pixel to Cancer: Cellular Automata in Computed Tomography. CoRR abs/2403.06459 (2024) - [i317]Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille:
A Bayesian Approach to OOD Robustness in Image Classification. CoRR abs/2403.07277 (2024) - [i316]Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou:
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images. CoRR abs/2403.08689 (2024) - [i315]Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CoRR abs/2404.02132 (2024) - [i314]Fengrui Tian, Yaoyao Liu, Adam Kortylewski, Yueqi Duan, Shaoyi Du, Alan L. Yuille, Angtian Wang:
Learning a Category-level Object Pose Estimator without Pose Annotations. CoRR abs/2404.05626 (2024) - [i313]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CoRR abs/2404.14248 (2024) - [i312]Feng Wang, Jiahao Wang, Sucheng Ren, Guoyizhe Wei, Jieru Mei, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie:
Mamba-R: Vision Mamba ALSO Needs Registers. CoRR abs/2405.14858 (2024) - [i311]Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan L. Yuille:
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting. CoRR abs/2405.15125 (2024) - [i310]Sucheng Ren, Hongru Zhu, Chen Wei, Yijiang Li, Alan L. Yuille, Cihang Xie:
ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning. CoRR abs/2405.15160 (2024) - [i309]Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography. CoRR abs/2405.18356 (2024) - [i308]Yixiong Chen, Zongwei Zhou, Alan L. Yuille:
Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets. CoRR abs/2406.00327 (2024) - [i307]Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan L. Yuille:
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering. CoRR abs/2406.00622 (2024) - [i306]Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan L. Yuille:
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. CoRR abs/2406.04322 (2024) - [i305]Sucheng Ren, Xiaoke Huang, Xianhang Li, Junfei Xiao, Jieru Mei, Zeyu Wang, Alan L. Yuille, Yuyin Zhou:
Medical Vision Generalist: Unifying Medical Imaging Tasks in Context. CoRR abs/2406.05565 (2024) - [i304]Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan L. Yuille, Cihang Xie:
Autoregressive Pretraining with Mamba in Vision. CoRR abs/2406.07537 (2024) - [i303]Wufei Ma, Guanning Zeng, Guofeng Zhang, Qihao Liu, Letian Zhang, Adam Kortylewski, Yaoyao Liu, Alan L. Yuille:
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. CoRR abs/2406.09613 (2024) - [i302]Jieneng Chen, Luoxin Ye, Ju He, Zhao-Yang Wang, Daniel Khashabi, Alan L. Yuille:
LLaVolta: Efficient Multi-modal Models via Stage-wise Visual Context Compression. CoRR abs/2406.20092 (2024) - [i301]Yu-Cheng Chou, Zongwei Zhou, Alan L. Yuille:
Embracing Massive Medical Data. CoRR abs/2407.04687 (2024) - [i300]Xiaoding Yuan, Shitao Tang, Kejie Li, Alan L. Yuille, Peng Wang:
CamFreeDiff: Camera-free Image to Panorama Generation with Diffusion Model. CoRR abs/2407.07174 (2024) - [i299]Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg:
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. CoRR abs/2407.09271 (2024) - [i298]Wufei Ma, Kai Li, Zhongshi Jiang, Moustafa Meshry, Qihao Liu, Huiyu Wang, Christian Häne, Alan L. Yuille:
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data. CoRR abs/2407.13094 (2024) - [i297]Wenxuan Li, Chongyu Qu, Xiaoxi Chen, Pedro R. A. S. Bassi, Yijia Shi, Yuxiang Lai, Qian Yu, Huimin Xue, Yixiong Chen, Xiaorui Lin, Yutong Tang, Yining Cao, Haoqi Han, Zheyuan Zhang, Jiawei Liu, Tiezheng Zhang, Yujiu Ma, Jincheng Wang, Guang Zhang, Alan L. Yuille, Zongwei Zhou:
AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking. CoRR abs/2407.16697 (2024) - [i296]Yuxuan Wang, Alan L. Yuille, Zhuowan Li, Zilong Zheng:
ExoViP: Step-by-step Verification and Exploration with Exoskeleton Modules for Compositional Visual Reasoning. CoRR abs/2408.02210 (2024) - [i295]Yunfei Xie, Cihang Xie, Alan L. Yuille, Jieru Mei:
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation. CoRR abs/2409.01353 (2024) - [i294]Qi Chen, Yuxiang Lai, Xiaoxi Chen, Qixin Hu, Alan L. Yuille, Zongwei Zhou:
Analyzing Tumors by Synthesis. CoRR abs/2409.06035 (2024) - 2023
- [j104]Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu:
Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping. Cogn. Sci. 47(9) (2023) - [j103]Yuhui Xu, Lingxi Xie, Cihang Xie, Wenrui Dai, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan L. Yuille:
BNET: Batch Normalization With Enhanced Linear Transformation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9225-9232 (2023) - [c362]Qihao Liu, Adam Kortylewski, Alan L. Yuille:
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation. CVPR 2023: 672-681 - [c361]Wei Ji, Jingjing Li, Cheng Bian, Zongwei Zhou, Jiaying Zhao, Alan L. Yuille, Li Cheng:
Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline. CVPR 2023: 1094-1104 - [c360]Qihao Liu, Junfeng Wu, Yi Jiang, Xiang Bai, Alan L. Yuille, Song Bai:
InstMove: Instance Motion for Object-centric Video Segmentation. CVPR 2023: 6344-6354 - [c359]Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou:
Label-Free Liver Tumor Segmentation. CVPR 2023: 7422-7432 - [c358]Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille:
Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation. CVPR 2023: 11259-11268 - [c357]Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille:
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. CVPR 2023: 14963-14973 - [c356]Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou:
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection. CVPR 2023: 23890-23901 - [c355]Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Masked Autoencoders Enable Efficient Knowledge Distillers. CVPR 2023: 24256-24265 - [c354]Yuanze Lin, Chen Wei, Huiyu Wang, Alan L. Yuille, Cihang Xie:
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. ICCV 2023: 2459-2469 - [c353]Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan L. Yuille, Adam Kortylewski:
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. ICCV 2023: 9065-9075 - [c352]Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan L. Yuille:
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation. ICCV 2023: 9365-9376 - [c351]Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer:
Diffusion Models as Masked Autoencoders. ICCV 2023: 16238-16248 - [c350]Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. ICCV 2023: 21095-21107 - [c349]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. ICCV 2023: 21270-21281 - [c348]Yixiong Chen, Alan L. Yuille, Zongwei Zhou:
Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks. ICLR 2023 - [c347]Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan L. Yuille:
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis. ICLR 2023 - [c346]Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen:
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. ICLR 2023 - [c345]Mintong Kang, Bowen Li, Zengle Zhu, Yongyi Lu, Elliot K. Fishman, Alan L. Yuille, Zongwei Zhou:
Label-Assemble: Leveraging Multiple Datasets with Partial Labels. ISBI 2023: 1-5 - [c344]Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu, Zongwei Zhou:
Continual Learning for Abdominal Multi-organ and Tumor Segmentation. MICCAI (2) 2023: 35-45 - [c343]Yiqing Wang, Zihan Li, Jieru Mei, Zihao Wei, Li Liu, Chen Wang, Shengtian Sang, Alan L. Yuille, Cihang Xie, Yuyin Zhou:
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. MICCAI (3) 2023: 486-496 - [c342]Liangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen, Alan L. Yuille, Zongwei Zhou:
Making Your First Choice: To Address Cold Start Problem in Medical Active Learning. MIDL 2023: 496-525 - [c341]Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou:
AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks. NeurIPS 2023 - [c340]Xingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan L. Yuille:
3D-Aware Visual Question Answering about Parts, Poses and Occlusions. NeurIPS 2023 - [c339]Yutong Bai, Angtian Wang, Adam Kortylewski, Alan L. Yuille:
CoKe: Contrastive Learning for Robust Keypoint Detection. WACV 2023: 65-74 - [c338]Junfei Xiao, Yutong Bai, Alan L. Yuille, Zongwei Zhou:
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification. WACV 2023: 3577-3589 - [c337]Ju He, Adam Kortylewski, Alan L. Yuille:
CORL: Compositional Representation Learning for Few-Shot Classification. WACV 2023: 3879-3888 - [i293]Zihao Xiao, Alan L. Yuille, Yi-Ting Chen:
Learning Road Scene-level Representations via Semantic Region Prediction. CoRR abs/2301.00714 (2023) - [i292]Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. CoRR abs/2301.00785 (2023) - [i291]Chen Wang, Angtian Wang, Junbo Li, Alan L. Yuille, Cihang Xie:
Benchmarking Robustness in Neural Radiance Fields. CoRR abs/2301.04075 (2023) - [i290]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. CoRR abs/2301.12291 (2023) - [i289]Qihao Liu, Adam Kortylewski, Alan L. Yuille:
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation. CoRR abs/2303.07337 (2023) - [i288]Qihao Liu, Junfeng Wu, Yi Jiang, Xiang Bai, Alan L. Yuille, Song Bai:
InstMove: Instance Motion for Object-centric Video Segmentation. CoRR abs/2303.08132 (2023) - [i287]Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou:
Label-Free Liver Tumor Segmentation. CoRR abs/2303.14869 (2023) - [i286]Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer:
Diffusion Models as Masked Autoencoders. CoRR abs/2304.03283 (2023) - [i285]Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan L. Yuille, Adam Kortylewski:
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. CoRR abs/2304.10266 (2023) - [i284]Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou:
Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks. CoRR abs/2305.09666 (2023) - [i283]Artur Jesslen, Guofeng Zhang, Angtian Wang, Alan L. Yuille, Adam Kortylewski:
Robust 3D-aware Object Classification via Discriminative Render-and-Compare. CoRR abs/2305.14668 (2023) - [i282]Jiahao Yang, Wufei Ma, Angtian Wang, Xiaoding Yuan, Alan L. Yuille, Adam Kortylewski:
Robust Category-Level 3D Pose Estimation from Synthetic Data. CoRR abs/2305.16124 (2023) - [i281]Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski:
Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis. CoRR abs/2306.00118 (2023) - [i280]Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille:
Intriguing Properties of Text-guided Diffusion Models. CoRR abs/2306.00974 (2023) - [i279]Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu, Zongwei Zhou:
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation. CoRR abs/2306.00988 (2023) - [i278]Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille:
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation. CoRR abs/2306.07404 (2023) - [i277]Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Yaoyao Liu, Adam Kortylewski, Alan L. Yuille:
Adding 3D Geometry Control to Diffusion Models. CoRR abs/2306.08103 (2023) - [i276]Yiqing Wang, Zihan Li, Jieru Mei, Zihao Wei, Li Liu, Chen Wang, Shengtian Sang, Alan L. Yuille, Cihang Xie, Yuyin Zhou:
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. CoRR abs/2307.12591 (2023) - [i275]Bowen Li, Yu-Cheng Chou, Shuwen Sun, Hualin Qiao, Alan L. Yuille, Zongwei Zhou:
Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis. CoRR abs/2308.03008 (2023) - [i274]Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan L. Yuille:
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation. CoRR abs/2308.10123 (2023) - [i273]Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan L. Yuille, Adam Kortylewski:
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. CoRR abs/2308.11737 (2023) - [i272]Shiqi Liu, Yutong Bai, Xinyang Han, Alan L. Yuille:
Understanding Pan-Sharpening via Generalized Inverse. CoRR abs/2310.02718 (2023) - [i271]Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan L. Yuille, Kang Li, Zongwei Zhou:
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts. CoRR abs/2310.02906 (2023) - [i270]Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou:
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. CoRR abs/2310.04412 (2023) - [i269]Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou:
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. CoRR abs/2310.07781 (2023) - [i268]Yu-Cheng Chou, Bowen Li, Deng-Ping Fan, Alan L. Yuille, Zongwei Zhou:
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data. CoRR abs/2310.15098 (2023) - [i267]Qixin Hu, Alan L. Yuille, Zongwei Zhou:
Synthetic Data as Validation. CoRR abs/2310.16052 (2023) - [i266]Xingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan L. Yuille:
3D-Aware Visual Question Answering about Parts, Poses and Occlusions. CoRR abs/2310.17914 (2023) - [i265]Chen Wei, Chenxi Liu, Siyuan Qiao, Zhishuai Zhang, Alan L. Yuille, Jiahui Yu:
De-Diffusion Makes Text a Strong Cross-Modal Interface. CoRR abs/2311.00618 (2023) - [i264]Yuanhao Cai, Jiahao Wang, Alan L. Yuille, Zongwei Zhou, Angtian Wang:
Structure-Aware Sparse-View X-ray 3D Reconstruction. CoRR abs/2311.10959 (2023) - [i263]Jiang Liu, Chen Wei, Yuxiang Guo, Heng Yu, Alan L. Yuille, Soheil Feizi, Chun Pong Lau, Rama Chellappa:
Instruct2Attack: Language-Guided Semantic Adversarial Attacks. CoRR abs/2311.15551 (2023) - [i262]Chenglin Yang, Siyuan Qiao, Yuan Cao, Yu Zhang, Tao Zhu, Alan L. Yuille, Jiahui Yu:
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers. CoRR abs/2311.17072 (2023) - [i261]Ruxiao Duan, Yaoyao Liu, Jieneng Chen, Adam Kortylewski, Alan L. Yuille:
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning. CoRR abs/2311.18266 (2023) - [i260]Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation. CoRR abs/2311.18537 (2023) - [i259]Jiawei Peng, Ju He, Prakhar Kaushik, Zihao Xiao, Jiteng Mu, Alan L. Yuille:
Learning Part Segmentation from Synthetic Animals. CoRR abs/2311.18661 (2023) - [i258]Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros:
Sequential Modeling Enables Scalable Learning for Large Vision Models. CoRR abs/2312.00785 (2023) - [i257]Feng Wang, Jieru Mei, Alan L. Yuille:
SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference. CoRR abs/2312.01597 (2023) - [i256]Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie:
Rejuvenating image-GPT as Strong Visual Representation Learners. CoRR abs/2312.02147 (2023) - [i255]Shitian Zhao, Zhuowan Li, Yadong Lu, Alan L. Yuille, Yan Wang:
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models. CoRR abs/2312.06685 (2023) - [i254]Qian Wang, Yaoyao Liu, Hefei Ling, Yingwei Li, Qihao Liu, Ping Li, Jiazhong Chen, Alan L. Yuille, Ning Yu:
Continual Adversarial Defense. CoRR abs/2312.09481 (2023) - [i253]Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. CoRR abs/2312.13764 (2023) - [i252]Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan L. Yuille, Tony Tung:
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction. CoRR abs/2312.17192 (2023) - 2022
- [j102]Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation: A Benchmark. Int. J. Comput. Vis. 130(8): 2022-2039 (2022) - [j101]Xiang Xiang, Feng Wang, Yuwen Tan, Alan L. Yuille:
Imbalanced regression for intensity series of pain expression from videos by regularizing spatio-temporal face nets. Pattern Recognit. Lett. 163: 152-158 (2022) - [j100]Yuyin Zhou, David Dreizin, Yan Wang, Fengze Liu, Wei Shen, Alan L. Yuille:
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data. IEEE Trans. Medical Imaging 41(6): 1346-1357 (2022) - [c336]Zihao Xiao, Alan L. Yuille, Yi-Ting Chen:
Learning Road Scene-level Representations via Semantic Region Prediction. CoRL 2022: 1882-1892 - [c335]Yihong Sun, Adam Kortylewski, Alan L. Yuille:
Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model. CVPR 2022: 1205-1214 - [c334]Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CVPR 2022: 2550-2560 - [c333]Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li:
Learning from Temporal Gradient for Semi-supervised Action Recognition. CVPR 2022: 3242-3252 - [c332]Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff:
Simulated Adversarial Testing of Face Recognition Models. CVPR 2022: 4135-4145 - [c331]Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan L. Yuille:
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. CVPR 2022: 5068-5078 - [c330]Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan L. Yuille:
Lite Vision Transformer with Enhanced Self-Attention. CVPR 2022: 11988-11998 - [c329]Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai:
TransMix: Attend to Mix for Vision Transformers. CVPR 2022: 12125-12134 - [c328]Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
A Simple Data Mixing Prior for Improving Self-Supervised Learning. CVPR 2022: 14575-14584 - [c327]Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer:
Masked Feature Prediction for Self-Supervised Visual Pre-Training. CVPR 2022: 14648-14658 - [c326]Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan L. Yuille, Alexander C. Berg:
Point-Level Region Contrast for Object Detection Pre-Training. CVPR 2022: 16040-16049 - [c325]Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan:
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CVPR 2022: 17161-17170 - [c324]Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan L. Yuille:
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles. CVPR 2022: 19118-19129 - [c323]Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan L. Yuille:
PartImageNet: A Large, High-Quality Dataset of Parts. ECCV (8) 2022: 128-145 - [c322]Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski:
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. ECCV (8) 2022: 163-180 - [c321]Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma, Alan L. Yuille, Gregory D. Hager:
Coarse-To-Fine Incremental Few-Shot Learning. ECCV (31) 2022: 205-222 - [c320]Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H. Taylor, Mathias Unberath, Alan L. Yuille, Yingwei Li:
Context-Enhanced Stereo Transformer. ECCV (32) 2022: 263-279 - [c319]Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
k-means Mask Transformer. ECCV (29) 2022: 288-307 - [c318]Wufei Ma, Angtian Wang, Alan L. Yuille, Adam Kortylewski:
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features. ECCV (9) 2022: 492-508 - [c317]Qihao Liu, Yi Zhang, Song Bai, Alan L. Yuille:
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation. ECCV (5) 2022: 497-517 - [c316]Feng Wang, Huiyu Wang, Chen Wei, Alan L. Yuille, Wei Shen:
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation. ECCV (30) 2022: 499-515 - [c315]Junfeng Wu, Qihao Liu, Yi Jiang, Song Bai, Alan L. Yuille, Xiang Bai:
In Defense of Online Models for Video Instance Segmentation. ECCV (28) 2022: 588-605 - [c314]Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
In Defense of Image Pre-Training for Spatiotemporal Recognition. ECCV (25) 2022: 675-691 - [c313]Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie:
Fast AdvProp. ICLR 2022 - [c312]Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong:
Image BERT Pre-training with Online Tokenizer. ICLR 2022 - [c311]Junfei Xiao, Lequan Yu, Zongwei Zhou, Yutong Bai, Lei Xing, Alan L. Yuille, Yuyin Zhou:
CateNorm: Categorical Normalization for Robust Medical Image Segmentation. DART@MICCAI 2022: 129-146 - [c310]Yixiao Zhang, Adam Kortylewski, Qing Liu, Seyoun Park, Benjamin Green, Elizabeth Engle, Guillermo Almodovar, Ryan Walk, Sigfredo Soto-Diaz, Janis Taube, Alex Szalay, Alan L. Yuille:
A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation. MOVI@MICCAI 2022: 145-155 - [c309]Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan L. Yuille, Yongyi Lu:
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation. MIDL 2022: 1444-1458 - [c308]Tae Soo Kim, Bohoon Shim, Michael Peven, Weichao Qiu, Alan L. Yuille, Gregory D. Hager:
Learning from Synthetic Vehicles. WACV (Workshops) 2022: 500-508 - [i251]Yuyin Zhou, David Dreizin, Yan Wang, Fengze Liu, Wei Shen, Alan L. Yuille:
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data. CoRR abs/2201.00942 (2022) - [i250]Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan L. Yuille, Alexander C. Berg:
Point-Level Region Contrast for Object Detection Pre-Training. CoRR abs/2202.04639 (2022) - [i249]Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan:
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CoRR abs/2203.08195 (2022) - [i248]Feng Wang, Huiyu Wang, Chen Wei, Alan L. Yuille, Wei Shen:
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation. CoRR abs/2203.11709 (2022) - [i247]Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan L. Yuille:
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. CoRR abs/2204.02285 (2022) - [i246]Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie:
Fast AdvProp. CoRR abs/2204.09838 (2022) - [i245]Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
In Defense of Image Pre-Training for Spatiotemporal Recognition. CoRR abs/2205.01721 (2022) - [i244]Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan L. Yuille:
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis. CoRR abs/2205.15401 (2022) - [i243]Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
A Simple Data Mixing Prior for Improving Self-Supervised Learning. CoRR abs/2206.07692 (2022) - [i242]Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CoRR abs/2206.08948 (2022) - [i241]Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan L. Yuille, Yongyi Lu:
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation. CoRR abs/2207.02529 (2022) - [i240]Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
k-means Mask Transformer. CoRR abs/2207.04044 (2022) - [i239]Junfeng Wu, Qihao Liu, Yi Jiang, Song Bai, Alan L. Yuille, Xiang Bai:
In Defense of Online Models for Video Instance Segmentation. CoRR abs/2207.10661 (2022) - [i238]Qihao Liu, Yi Zhang, Song Bai, Alan L. Yuille:
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation. CoRR abs/2208.00090 (2022) - [i237]Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Masked Autoencoders Enable Efficient Knowledge Distillers. CoRR abs/2208.12256 (2022) - [i236]Wufei Ma, Angtian Wang, Alan L. Yuille, Adam Kortylewski:
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features. CoRR abs/2209.05624 (2022) - [i235]Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen:
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. CoRR abs/2210.01820 (2022) - [i234]Liangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen, Alan L. Yuille, Zongwei Zhou:
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning. CoRR abs/2210.02442 (2022) - [i233]Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H. Taylor, Mathias Unberath, Alan L. Yuille, Yingwei Li:
Context-Enhanced Stereo Transformer. CoRR abs/2210.11719 (2022) - [i232]Junfei Xiao, Yutong Bai, Alan L. Yuille, Zongwei Zhou:
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification. CoRR abs/2210.12843 (2022) - [i231]Junfei Xiao, Zhichao Xu, Shiyi Lan, Zhiding Yu, Alan L. Yuille, Anima Anandkumar:
1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track. CoRR abs/2210.12852 (2022) - [i230]Qixin Hu, Junfei Xiao, Yixiong Chen, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou:
Synthetic Tumors Make AI Segment Tumors Better. CoRR abs/2210.14845 (2022) - [i229]Yuanze Lin, Chen Wei, Huiyu Wang, Alan L. Yuille, Cihang Xie:
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. CoRR abs/2211.11446 (2022) - [i228]Shuyang Sun, Jieneng Chen, Ruifei He, Alan L. Yuille, Philip H. S. Torr, Song Bai:
LUMix: Improving Mixup by Better Modelling Label Uncertainty. CoRR abs/2211.15846 (2022) - [i227]Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille:
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. CoRR abs/2212.00259 (2022) - [i226]Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille:
Localization vs. Semantics: How Can Language Benefit Visual Representation Learning? CoRR abs/2212.00281 (2022) - [i225]Siwei Yang, Longlong Jing, Junfei Xiao, Hang Zhao, Alan L. Yuille, Yingwei Li:
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation. CoRR abs/2212.03517 (2022) - [i224]Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Unleashing the Power of Visual Prompting At the Pixel Level. CoRR abs/2212.10556 (2022) - 2021
- [j99]Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan L. Yuille:
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion. Int. J. Comput. Vis. 129(3): 736-760 (2021) - [j98]Alan L. Yuille, Chenxi Liu:
Deep Nets: What have They Ever Done for Vision? Int. J. Comput. Vis. 129(3): 781-802 (2021) - [j97]Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille:
Deep Differentiable Random Forests for Age Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 404-419 (2021) - [j96]Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. IEEE Trans. Medical Imaging 40(10): 2723-2735 (2021) - [c307]Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager:
DASZL: Dynamic Action Signatures for Zero-shot Learning. AAAI 2021: 1817-1826 - [c306]Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille:
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks. AAAI 2021: 3225-3233 - [c305]Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan L. Yuille:
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. BMVC 2021: 141 - [c304]Adam Kortylewski, Ju He, Qing Liu, Christian Cosgrove, Chenglin Yang, Alan L. Yuille:
Compositional Generative Networks and Robustness to Perceptible Image Changes. CISS 2021: 1-8 - [c303]Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu:
Visual Analogy: Deep Learning Versus Compositional Models. CogSci 2021 - [c302]Hongru Zhu, Alan L. Yuille, Daniel J. Kersten:
Three-dimensional pose discrimination in natural images of humans. CogSci 2021 - [c301]Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille:
Mask Guided Matting via Progressive Refinement Network. CVPR 2021: 1154-1163 - [c300]Chenxu Luo, Xiaodong Yang, Alan L. Yuille:
Self-Supervised Pillar Motion Learning for Autonomous Driving. CVPR 2021: 3183-3192 - [c299]Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation. CVPR 2021: 3997-4008 - [c298]Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers. CVPR 2021: 5463-5474 - [c297]Hao Ding, Siyuan Qiao, Alan L. Yuille, Wei Shen:
Deeply Shape-Guided Cascade for Instance Segmentation. CVPR 2021: 8278-8288 - [c296]Zefan Li, Chenxi Liu, Alan L. Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao:
Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement. CVPR 2021: 9767-9776 - [c295]Siyuan Qiao, Liang-Chieh Chen, Alan L. Yuille:
DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution. CVPR 2021: 10213-10224 - [c294]Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan L. Yuille, Fan Yang:
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. CVPR 2021: 10857-10866 - [c293]Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan L. Yuille:
Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion. CVPR 2021: 11141-11150 - [c292]Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang:
Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency. CVPR 2021: 13968-13978 - [c291]Chenxu Luo, Xiaodong Yang, Alan L. Yuille:
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving. ICCV 2021: 10468-10477 - [c290]Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang:
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. ICCV 2021: 12981-12991 - [c289]Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille:
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. ICCV 2021: 14890-14899 - [c288]Xinyue Wei, Weichao Qiu, Yi Zhang, Zihao Xiao, Alan L. Yuille:
Nuisance-Label Supervision: Robustness Improvement by Free Labels. ICCVW 2021: 1541-1550 - [c287]Zhuotun Zhu, Yongyi Lu, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors. ICCVW 2021: 3395-3401 - [c286]Chen Wei, Huiyu Wang, Wei Shen, Alan L. Yuille:
CO2: Consistent Contrast for Unsupervised Visual Representation Learning. ICLR 2021 - [c285]Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie:
Shape-Texture Debiased Neural Network Training. ICLR 2021 - [c284]Angtian Wang, Adam Kortylewski, Alan L. Yuille:
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation. ICLR 2021 - [c283]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. MICCAI (4) 2021: 87-97 - [c282]Yingda Xia, Jiawen Yao, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan L. Yuille, Kai Cao, Ling Zhang:
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. MICCAI (5) 2021: 259-269 - [c281]Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. MICCAI (7) 2021: 764-774 - [c280]Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar:
ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. ACM Multimedia 2021: 5686-5687 - [c279]Yutong Bai, Jieru Mei, Alan L. Yuille, Cihang Xie:
Are Transformers more robust than CNNs? NeurIPS 2021: 26831-26843 - [c278]Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge. NeurIPS Datasets and Benchmarks 2021 - [c277]Angtian Wang, Shenxiao Mei, Alan L. Yuille, Adam Kortylewski:
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose. NeurIPS 2021: 7207-7219 - [c276]Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan L. Yuille, Wei Shen:
Glance-and-Gaze Vision Transformer. NeurIPS 2021: 12992-13003 - [e5]Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar, Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu:
ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8672-2 [contents] - [i223]Ju He, Adam Kortylewski, Alan L. Yuille:
COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification. CoRR abs/2101.11878 (2021) - [i222]Angtian Wang, Adam Kortylewski, Alan L. Yuille:
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation. CoRR abs/2101.12378 (2021) - [i221]Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation. CoRR abs/2102.01558 (2021) - [i220]Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. CoRR abs/2102.04306 (2021) - [i219]Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan L. Yuille, Fan Yang:
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. CoRR abs/2102.09559 (2021) - [i218]Prakhar Kaushik, Alex Gain, Adam Kortylewski, Alan L. Yuille:
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping. CoRR abs/2102.11343 (2021) - [i217]Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. CoRR abs/2103.05170 (2021) - [i216]Seyoun Park, Elliot K. Fishman, Alan L. Yuille:
Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations. CoRR abs/2103.05525 (2021) - [i215]Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan L. Yuille:
TransFG: A Transformer Architecture for Fine-grained Recognition. CoRR abs/2103.07976 (2021) - [i214]Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang:
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency. CoRR abs/2103.12886 (2021) - [i213]Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan L. Yuille:
CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models. CoRR abs/2103.14098 (2021) - [i212]Junfei Xiao, Lequan Yu, Lei Xing, Alan L. Yuille, Yuyin Zhou:
DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation. CoRR abs/2103.15858 (2021) - [i211]Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang:
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. CoRR abs/2104.07645 (2021) - [i210]Chenxu Luo, Xiaodong Yang, Alan L. Yuille:
Self-Supervised Pillar Motion Learning for Autonomous Driving. CoRR abs/2104.08683 (2021) - [i209]Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan L. Yuille, Holger Roth:
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. CoRR abs/2104.10195 (2021) - [i208]Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu:
Visual analogy: Deep learning versus compositional models. CoRR abs/2105.07065 (2021) - [i207]Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. CoRR abs/2105.14773 (2021) - [i206]Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan L. Yuille:
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning. CoRR abs/2106.00209 (2021) - [i205]Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan L. Yuille, Wei Shen:
Glance-and-Gaze Vision Transformer. CoRR abs/2106.02277 (2021) - [i204]Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff:
Simulated Adversarial Testing of Face Recognition Models. CoRR abs/2106.04569 (2021) - [i203]Zefan Li, Chenxi Liu, Alan L. Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao:
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement. CoRR abs/2106.05554 (2021) - [i202]Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixé, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen:
DeepLab2: A TensorFlow Library for Deep Labeling. CoRR abs/2106.09748 (2021) - [i201]Chenglin Yang, Siyuan Qiao, Adam Kortylewski, Alan L. Yuille:
Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms. CoRR abs/2107.05637 (2021) - [i200]Chenxu Luo, Xiaodong Yang, Alan L. Yuille:
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving. CoRR abs/2108.10312 (2021) - [i199]Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip H. S. Torr, Dacheng Tao:
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. CoRR abs/2109.05211 (2021) - [i198]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings. CoRR abs/2109.11572 (2021) - [i197]Mintong Kang, Yongyi Lu, Alan L. Yuille, Zongwei Zhou:
Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels. CoRR abs/2109.12265 (2021) - [i196]Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille:
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. CoRR abs/2110.00519 (2021) - [i195]Xinyue Wei, Weichao Qiu, Yi Zhang, Zihao Xiao, Alan L. Yuille:
Nuisance-Label Supervision: Robustness Improvement by Free Labels. CoRR abs/2110.07118 (2021) - [i194]Yixiao Zhang, Adam Kortylewski, Qing Liu, Seyoun Park, Benjamin Green, Elizabeth Engle, Guillermo Almodovar, Ryan Walk, Sigfredo Soto-Diaz, Janis Taube, Alex Szalay, Alan L. Yuille:
A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation. CoRR abs/2110.13846 (2021) - [i193]Angtian Wang, Shenxiao Mei, Alan L. Yuille, Adam Kortylewski:
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose. CoRR abs/2110.14213 (2021) - [i192]Yutong Bai, Jieru Mei, Alan L. Yuille, Cihang Xie:
Are Transformers More Robust Than CNNs? CoRR abs/2111.05464 (2021) - [i191]Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan L. Yuille:
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. CoRR abs/2111.07547 (2021) - [i190]Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong:
iBOT: Image BERT Pre-Training with Online Tokenizer. CoRR abs/2111.07832 (2021) - [i189]Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge. CoRR abs/2111.07950 (2021) - [i188]Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai:
TransMix: Attend to Mix for Vision Transformers. CoRR abs/2111.09833 (2021) - [i187]Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li:
Learning from Temporal Gradient for Semi-supervised Action Recognition. CoRR abs/2111.13241 (2021) - [i186]Tiange Xiang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou:
In-painting Radiography Images for Unsupervised Anomaly Detection. CoRR abs/2111.13495 (2021) - [i185]Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski:
ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts. CoRR abs/2111.14341 (2021) - [i184]Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Alan L. Yuille:
PartImageNet: A Large, High-Quality Dataset of Parts. CoRR abs/2112.00933 (2021) - [i183]Jingye Chen, Jieneng Chen, Zongwei Zhou, Bin Li, Alan L. Yuille, Yongyi Lu:
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification. CoRR abs/2112.01767 (2021) - [i182]Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer:
Masked Feature Prediction for Self-Supervised Visual Pre-Training. CoRR abs/2112.09133 (2021) - [i181]Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan L. Yuille:
Lite Vision Transformer with Enhanced Self-Attention. CoRR abs/2112.10809 (2021) - 2020
- [j95]David Dreizin, Yuyin Zhou, Yixiao Zhang, Nikki Tirada, Alan L. Yuille:
Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT. J. Digit. Imaging 33(1): 243-251 (2020) - [j94]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Anal. 65: 101766 (2020) - [j93]Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille:
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 176-191 (2020) - [j92]Chenxu Luo, Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia, Alan L. Yuille:
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2624-2641 (2020) - [j91]Zhe Ren, Junchi Yan, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha:
Unsupervised learning of optical flow with patch consistency and occlusion estimation. Pattern Recognit. 103: 107191 (2020) - [j90]Zhe Ren, Wenhan Luo, Junchi Yan, Wenlong Liao, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha:
STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. IEEE Trans. Image Process. 29: 9113-9124 (2020) - [j89]Lingxi Xie, Qihang Yu, Yuyin Zhou, Yan Wang, Elliot K. Fishman, Alan L. Yuille:
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans. IEEE Trans. Medical Imaging 39(2): 514-525 (2020) - [c275]Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille:
Learning Transferable Adversarial Examples via Ghost Networks. AAAI 2020: 11458-11465 - [c274]Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille:
Identifying Model Weakness with Adversarial Examiner. AAAI 2020: 11998-12006 - [c273]Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu:
When Radiology Report Generation Meets Knowledge Graph. AAAI 2020: 12910-12917 - [c272]Hanwen Cao, Yongyi Lu, Bo Pang, Cewu Lu, Alan L. Yuille, Gongshen Liu:
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation. BMVC 2020 - [c271]Jialing Lyu, Weichao Qiu, Alan L. Yuille:
Identity Preserve Transform: Understand What Activity Classification Models Have Learnt. CVPR Workshops 2020: 39-47 - [c270]Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan L. Yuille, Changqing Zou, Ning Liu:
Universal Physical Camouflage Attacks on Object Detectors. CVPR 2020: 717-726 - [c269]Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le:
Adversarial Examples Improve Image Recognition. CVPR 2020: 816-825 - [c268]Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille:
Context-Aware Group Captioning via Self-Attention and Contrastive Features. CVPR 2020: 3437-3447 - [c267]Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CVPR 2020: 3832-3841 - [c266]Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu:
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. CVPR 2020: 4125-4134 - [c265]Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille:
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion. CVPR 2020: 8937-8946 - [c264]Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille:
Neural Architecture Search for Lightweight Non-Local Networks. CVPR 2020: 10294-10303 - [c263]Jiteng Mu, Weichao Qiu, Gregory D. Hager, Alan L. Yuille:
Learning From Synthetic Animals. CVPR 2020: 12383-12392 - [c262]Angtian Wang, Yihong Sun, Adam Kortylewski, Alan L. Yuille:
Robust Object Detection Under Occlusion With Context-Aware CompositionalNets. CVPR 2020: 12642-12651 - [c261]Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan L. Yuille:
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots. ECCV (21) 2020: 68-84 - [c260]Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. ECCV (4) 2020: 108-126 - [c259]Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille:
Synthesize Then Compare: Detecting Failures and Anomalies for Semantic Segmentation. ECCV (1) 2020: 145-161 - [c258]Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison:
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans. ECCV (13) 2020: 257-274 - [c257]Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille:
TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion. ECCV Workshops (2) 2020: 447-463 - [c256]Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille:
PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning. ECCV (26) 2020: 681-698 - [c255]Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille:
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. ECCV (11) 2020: 795-813 - [c254]Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie:
Are Labels Necessary for Neural Architecture Search? ECCV (4) 2020: 798-813 - [c253]Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan L. Yuille, Jianchao Yang:
AtomNAS: Fine-Grained End-to-End Neural Architecture Search. ICLR 2020 - [c252]Cihang Xie, Alan L. Yuille:
Intriguing Properties of Adversarial Training at Scale. ICLR 2020 - [c251]Chenxu Luo, Lin Sun, Dariush Dabiri, Alan L. Yuille:
Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles. IROS 2020: 2370-2376 - [c250]Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille:
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. MICCAI (3) 2020: 285-295 - [c249]Shuhao Fu, Yongyi Lu, Yan Wang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Domain Adaptive Relational Reasoning for 3D Multi-organ Segmentation. MICCAI (1) 2020: 656-666 - [c248]Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu:
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy. MICCAI (7) 2020: 753-762 - [c247]Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin:
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. MICCAI (7) 2020: 772-782 - [c246]Qi Chen, Lin Sun, Ernest Cheung, Alan L. Yuille:
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization. NeurIPS 2020 - [c245]Christian Cosgrove, Alan L. Yuille:
Adversarial Examples for Edge Detection: They Exist, and They Transfer. WACV 2020: 1059-1068 - [c244]Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille:
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion. WACV 2020: 1322-1330 - [c243]Zhishuai Zhang, Wei Shen, Siyuan Qiao, Yan Wang, Bo Wang, Alan L. Yuille:
Robust Face Detection via Learning Small Faces on Hard Images. WACV 2020: 1350-1359 - [c242]Yunhan Zhao, Ye Tian, Charless C. Fowlkes, Wei Shen, Alan L. Yuille:
Resisting Large Data Variations via Introspective Transformation Network. WACV 2020: 3069-3078 - [c241]Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. WACV 2020: 3635-3644 - [i180]Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu:
When Radiology Report Generation Meets Knowledge Graph. CoRR abs/2002.08277 (2020) - [i179]Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille:
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion. CoRR abs/2003.04490 (2020) - [i178]Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. CoRR abs/2003.07853 (2020) - [i177]Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille:
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation. CoRR abs/2003.08440 (2020) - [i176]Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou, Alan L. Yuille:
Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. CoRR abs/2003.08441 (2020) - [i175]Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie:
Are Labels Necessary for Neural Architecture Search? CoRR abs/2003.12056 (2020) - [i174]Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille:
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network. CoRR abs/2003.12798 (2020) - [i173]Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille:
Neural Architecture Search for Lightweight Non-Local Networks. CoRR abs/2004.01961 (2020) - [i172]Zhuotun Zhu, Yongyi Lu, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors. CoRR abs/2004.02021 (2020) - [i171]Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille:
Context-Aware Group Captioning via Self-Attention and Contrastive Features. CoRR abs/2004.03708 (2020) - [i170]Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille:
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning. CoRR abs/2004.05682 (2020) - [i169]Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Chien-Yu Lin, Le Lu:
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search. CoRR abs/2004.08426 (2020) - [i168]Shuhao Fu, Yongyi Lu, Yan Wang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation. CoRR abs/2005.09120 (2020) - [i167]Angtian Wang, Yihong Sun, Adam Kortylewski, Alan L. Yuille:
Robust Object Detection under Occlusion with Context-Aware CompositionalNets. CoRR abs/2005.11643 (2020) - [i166]Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison:
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans. CoRR abs/2005.12209 (2020) - [i165]Zhuotun Zhu, Ke Yan, Dakai Jin, Jinzheng Cai, Tsung-Ying Ho, Adam P. Harrison, Dazhou Guo, Chun-Hung Chao, Xianghua Ye, Jing Xiao, Alan L. Yuille, Le Lu:
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification. CoRR abs/2005.13705 (2020) - [i164]Siyuan Qiao, Liang-Chieh Chen, Alan L. Yuille:
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution. CoRR abs/2006.02334 (2020) - [i163]Cihang Xie, Mingxing Tan, Boqing Gong, Alan L. Yuille, Quoc V. Le:
Smooth Adversarial Training. CoRR abs/2006.14536 (2020) - [i162]Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan L. Yuille:
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion. CoRR abs/2006.15538 (2020) - [i161]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. CoRR abs/2006.16806 (2020) - [i160]Chenxu Luo, Lin Sun, Dariush Dabiri, Alan L. Yuille:
Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles. CoRR abs/2007.02574 (2020) - [i159]Hanwen Cao, Yongyi Lu, Cewu Lu, Bo Pang, Gongshen Liu, Alan L. Yuille:
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation. CoRR abs/2008.05149 (2020) - [i158]Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu:
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy. CoRR abs/2008.11870 (2020) - [i157]Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin:
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. CoRR abs/2008.13013 (2020) - [i156]Yutong Bai, Angtian Wang, Adam Kortylewski, Alan L. Yuille:
CoKe: Localized Contrastive Learning for Robust Keypoint Detection. CoRR abs/2009.14115 (2020) - [i155]Chen Wei, Huiyu Wang, Wei Shen, Alan L. Yuille:
CO2: Consistent Contrast for Unsupervised Visual Representation Learning. CoRR abs/2010.02217 (2020) - [i154]Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie:
Shape-Texture Debiased Neural Network Training. CoRR abs/2010.05981 (2020) - [i153]Yihong Sun, Adam Kortylewski, Alan L. Yuille:
Weakly-Supervised Amodal Instance Segmentation with Compositional Priors. CoRR abs/2010.13175 (2020) - [i152]Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples. CoRR abs/2010.16074 (2020) - [i151]Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, Alan L. Yuille:
Can Temporal Information Help with Contrastive Self-Supervised Learning? CoRR abs/2011.13046 (2020) - [i150]Yuhui Xu, Lingxi Xie, Cihang Xie, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan L. Yuille:
Batch Normalization with Enhanced Linear Transformation. CoRR abs/2011.14150 (2020) - [i149]Qihao Liu, Weichao Qiu, Weiyao Wang, Gregory D. Hager, Alan L. Yuille:
Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation. CoRR abs/2012.00088 (2020) - [i148]Mengqi Guo, Yutong Bai, Zhishuai Zhang, Adam Kortylewski, Alan L. Yuille:
Unsupervised Part Discovery via Feature Alignment. CoRR abs/2012.00313 (2020) - [i147]Christian Cosgrove, Adam Kortylewski, Chenglin Yang, Alan L. Yuille:
Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks. CoRR abs/2012.00558 (2020) - [i146]Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers. CoRR abs/2012.00759 (2020) - [i145]Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan L. Yuille:
Robust Instance Segmentation through Reasoning about Multi-Object Occlusion. CoRR abs/2012.02107 (2020) - [i144]Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation. CoRR abs/2012.05258 (2020) - [i143]Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille:
Mask Guided Matting via Progressive Refinement Network. CoRR abs/2012.06722 (2020) - [i142]Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zhe Lin, Alan L. Yuille:
Meticulous Object Segmentation. CoRR abs/2012.07181 (2020)
2010 – 2019
- 2019
- [j88]Yuan Gao, Alan L. Yuille:
Estimation of 3D Category-Specific Object Structure: Symmetry, Manhattan and/or Multiple Images. Int. J. Comput. Vis. 127(10): 1501-1526 (2019) - [j87]Yan Wang, Yuyin Zhou, Wei Shen, Seyoun Park, Elliot K. Fishman, Alan L. Yuille:
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion. Medical Image Anal. 55: 88-102 (2019) - [j86]Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan L. Yuille:
Robust 3D Human Pose Estimation from Single Images or Video Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1227-1241 (2019) - [c240]Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu:
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. 3DV 2019: 240-248 - [c239]Jieru Mei, Xingyu Chen, Chunyu Wang, Alan L. Yuille, Xuguang Lan, Wenjun Zeng:
Learning to Refine 3D Human Pose Sequences. 3DV 2019: 358-366 - [c238]Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille:
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students. AAAI 2019: 5628-5635 - [c237]Chunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng:
Learning Basis Representation to Refine 3D Human Pose Estimations. AAAI 2019: 8925-8932 - [c236]Hongjing Lu, Qing Liu, Nicholas Ichien, Alan L. Yuille, Keith J. Holyoak:
Seeing the Meaning: Vision Meets Semantics in Solving Pictorial Analogy Problems. CogSci 2019: 2201-2207 - [c235]Hongru Zhu, Peng Tang, Alan L. Yuille, Soojin Park, Jeongho Park:
Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models. CogSci 2019: 3213-3219 - [c234]Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan L. Yuille:
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization. CVPR 2019: 61-71 - [c233]Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei:
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. CVPR 2019: 82-92 - [c232]Qingfu Wan, Weichao Qiu, Alan L. Yuille:
Patch-based 3D Human Pose Refinement. CVPR Workshops 2019 - [c231]Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He:
Feature Denoising for Improving Adversarial Robustness. CVPR 2019: 501-509 - [c230]Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille:
Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning. CVPR 2019: 1910-1919 - [c229]Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille:
Elastic Boundary Projection for 3D Medical Image Segmentation. CVPR 2019: 2109-2118 - [c228]Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari:
ELASTIC: Improving CNNs With Dynamic Scaling Policies. CVPR 2019: 2258-2267 - [c227]Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, Alan L. Yuille:
Improving Transferability of Adversarial Examples With Input Diversity. CVPR 2019: 2730-2739 - [c226]Chenglin Yang, Lingxi Xie, Chi Su, Alan L. Yuille:
Snapshot Distillation: Teacher-Student Optimization in One Generation. CVPR 2019: 2859-2868 - [c225]Yuan Gao, Jiayi Ma, Mingbo Zhao, Wei Liu, Alan L. Yuille:
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction. CVPR 2019: 3205-3214 - [c224]Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille:
CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions. CVPR 2019: 4185-4194 - [c223]Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan L. Yuille:
CRAVES: Controlling Robotic Arm With a Vision-Based Economic System. CVPR 2019: 4214-4223 - [c222]Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang, Alan L. Yuille:
Adversarial Attacks Beyond the Image Space. CVPR 2019: 4302-4311 - [c221]Qing Liu, Lingxi Xie, Huiyu Wang, Alan L. Yuille:
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval. ICCV 2019: 3661-3670 - [c220]Chenxu Luo, Alan L. Yuille:
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition. ICCV 2019: 5511-5520 - [c219]Yutong Bai, Qing Liu, Lingxi Xie, Yan Zheng, Weichao Qiu, Alan L. Yuille:
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data. ICCV 2019: 7534-7544 - [c218]Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu:
An Alarm System for Segmentation Algorithm Based on Shape Model. ICCV 2019: 10651-10660 - [c217]Yuyin Zhou, Zhe Li, Song Bai, Xinlei Chen, Mei Han, Chong Wang, Elliot K. Fishman, Alan L. Yuille:
Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation. ICCV 2019: 10671-10680 - [c216]Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille:
Localizing Occluders with Compositional Convolutional Networks. ICCV Workshops 2019: 2029-2032 - [c215]Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille:
Structured Prediction using cGANs with Fusion Discriminator. DGS@ICLR 2019 - [c214]Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille:
Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma. MICCAI (6) 2019: 3-12 - [c213]Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot K. Fishman, Alan L. Yuille, Seyoun Park:
Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation. MICCAI (2) 2019: 155-163 - [c212]Fengze Liu, Lingxi Xie, Yingda Xia, Elliot K. Fishman, Alan L. Yuille:
Joint Shape Representation and Classification for Detecting PDAC. MLMI@MICCAI 2019: 212-220 - [c211]Fengze Liu, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille:
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. MLMI@MICCAI 2019: 221-229 - [c210]Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan L. Yuille:
Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures. MLMI@MICCAI 2019: 461-469 - [c209]Zhishuai Zhang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Lesion Detection by Efficiently Bridging 3D Context. MLMI@MICCAI 2019: 470-478 - [c208]Tae Soo Kim, Michael Peven, Weichao Qiu, Alan L. Yuille, Gregory D. Hager:
Synthesizing Attributes with Unreal Engine for Fine-grained Activity Analysis. WACV Workshops 2019: 35-37 - [c207]Yuyin Zhou, Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training. WACV 2019: 121-140 - [p2]Yuyin Zhou, Qihang Yu, Yan Wang, Lingxi Xie, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 43-67 - [p1]Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 69-91 - [i141]Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille:
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions. CoRR abs/1901.00850 (2019) - [i140]Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei:
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. CoRR abs/1901.02985 (2019) - [i139]Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan L. Yuille:
Weight Standardization. CoRR abs/1903.10520 (2019) - [i138]Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu:
An Alarm System For Segmentation Algorithm Based On Shape Model. CoRR abs/1903.10645 (2019) - [i137]Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille:
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. CoRR abs/1904.00979 (2019) - [i136]Qihang Yu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille:
Thickened 2D Networks for 3D Medical Image Segmentation. CoRR abs/1904.01150 (2019) - [i135]Qing Liu, Lingxi Xie, Huiyu Wang, Alan L. Yuille:
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval. CoRR abs/1904.03208 (2019) - [i134]Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot K. Fishman, Alan L. Yuille:
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation. CoRR abs/1904.06346 (2019) - [i133]Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille:
Structured Prediction using cGANs with Fusion Discriminator. CoRR abs/1904.13358 (2019) - [i132]Hongru Zhu, Peng Tang, Alan L. Yuille:
Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models. CoRR abs/1905.04598 (2019) - [i131]Qingfu Wan, Weichao Qiu, Alan L. Yuille:
Patch-based 3D Human Pose Refinement. CoRR abs/1905.08231 (2019) - [i130]Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille:
Compositional Convolutional Networks For Robust Object Classification under Occlusion. CoRR abs/1905.11826 (2019) - [i129]Christian Cosgrove, Alan L. Yuille:
Adversarial Examples for Edge Detection: They Exist, and They Transfer. CoRR abs/1906.00335 (2019) - [i128]Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu:
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. CoRR abs/1906.02817 (2019) - [i127]Cihang Xie, Alan L. Yuille:
Intriguing properties of adversarial training. CoRR abs/1906.03787 (2019) - [i126]Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan L. Yuille:
Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures. CoRR abs/1906.09540 (2019) - [i125]Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille:
Deep Differentiable Random Forests for Age Estimation. CoRR abs/1907.10665 (2019) - [i124]Fengze Liu, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille:
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. CoRR abs/1908.07654 (2019) - [i123]Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot K. Fishman, Alan L. Yuille, Seyoun Park:
Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation. CoRR abs/1909.00906 (2019) - [i122]Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille:
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion. CoRR abs/1909.03879 (2019) - [i121]Lifeng Huang, Chengying Gao, Yuyin Zhou, Changqing Zou, Cihang Xie, Alan L. Yuille, Ning Liu:
UPC: Learning Universal Physical Camouflage Attacks on Object Detectors. CoRR abs/1909.04326 (2019) - [i120]Chenxu Luo, Alan L. Yuille:
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition. CoRR abs/1909.13130 (2019) - [i119]Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille:
Localizing Occluders with Compositional Convolutional Networks. CoRR abs/1911.08571 (2019) - [i118]Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le:
Adversarial Examples Improve Image Recognition. CoRR abs/1911.09665 (2019) - [i117]Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan L. Yuille:
Rethinking Normalization and Elimination Singularity in Neural Networks. CoRR abs/1911.09738 (2019) - [i116]Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille:
Identifying Model Weakness with Adversarial Examiner. CoRR abs/1911.11230 (2019) - [i115]Hao Ding, Siyuan Qiao, Wei Shen, Alan L. Yuille:
Shape-aware Feature Extraction for Instance Segmentation. CoRR abs/1911.11263 (2019) - [i114]Yi Zhang, Xinyue Wei, Weichao Qiu, Zihao Xiao, Gregory D. Hager, Alan L. Yuille:
RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition. CoRR abs/1912.01180 (2019) - [i113]Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CoRR abs/1912.03383 (2019) - [i112]Jonathan D. Jones, Tae Soo Kim, Michael Peven, Jin Bai, Zihao Xiao, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager:
Zero-shot Recognition of Complex Action Sequences. CoRR abs/1912.03613 (2019) - [i111]Pengfei Li, Weichao Qiu, Michael Peven, Gregory D. Hager, Alan L. Yuille:
Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints. CoRR abs/1912.04363 (2019) - [i110]Jialing Lyu, Weichao Qiu, Xinyue Wei, Yi Zhang, Alan L. Yuille, Zheng-Jun Zha:
Identity Preserve Transform: Understand What Activity Classification Models Have Learnt. CoRR abs/1912.06314 (2019) - [i109]Jiteng Mu, Weichao Qiu, Gregory D. Hager, Alan L. Yuille:
Learning from Synthetic Animals. CoRR abs/1912.08265 (2019) - [i108]Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu:
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. CoRR abs/1912.09628 (2019) - [i107]Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan L. Yuille, Jianchao Yang:
AtomNAS: Fine-Grained End-to-End Neural Architecture Search. CoRR abs/1912.09640 (2019) - [i106]Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan L. Yuille:
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots. CoRR abs/1912.12791 (2019) - 2018
- [j85]Wenbin Jiang, Min Long, Laurence T. Yang, Xiaobai Liu, Hai Jin, Alan L. Yuille, Ye Chi:
FIPIP: A novel fine-grained parallel partition based intra-frame prediction on heterogeneous many-core systems. Future Gener. Comput. Syst. 78: 316-329 (2018) - [j84]Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille:
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 834-848 (2018) - [j83]Nam-Gyu Cho, Alan L. Yuille, Seong-Whan Lee:
A Novel Linelet-Based Representation for Line Segment Detection. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1195-1208 (2018) - [j82]Xuan Dong, Boyan Ivanov Bonev, Weixin Li, Weichao Qiu, Xianjie Chen, Alan L. Yuille:
Ground-Truth Data Set and Baseline Evaluations for Base-Detail Separation Algorithms at the Part Level. IEEE Trans. Circuits Syst. Video Technol. 28(3): 802-806 (2018) - [j81]Wangmeng Zuo, Liang Lin, Alan L. Yuille, Horst Bischof, Lei Zhang, Fatih Porikli:
Guest Editorial Introduction to the Special Issue on Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2441-2448 (2018) - [c206]Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan L. Yuille:
UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision. 3DV 2018: 228-237 - [c205]Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation. 3DV 2018: 682-690 - [c204]Qi Chen, Weichao Qiu, Yi Zhang, Lingxi Xie, Alan L. Yuille:
SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data. BMVC 2018: 6 - [c203]Chenxu Luo, Xiao Chu, Alan L. Yuille:
OriNet: A Fully Convolutional Network for 3D Human Pose Estimation. BMVC 2018: 92 - [c202]Zhishuai Zhang, Cihang Xie, Jianyu Wang, Lingxi Xie, Alan L. Yuille:
DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion. CVPR 2018: 1372-1380 - [c201]Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille:
Deep Regression Forests for Age Estimation. CVPR 2018: 2304-2313 - [c200]Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo Wang, Alan L. Yuille:
Single-Shot Object Detection With Enriched Semantics. CVPR 2018: 5813-5821 - [c199]Siyuan Qiao, Chenxi Liu, Wei Shen, Alan L. Yuille:
Few-Shot Image Recognition by Predicting Parameters From Activations. CVPR 2018: 7229-7238 - [c198]Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille:
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation. CVPR 2018: 8280-8289 - [c197]Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy:
Progressive Neural Architecture Search. ECCV (1) 2018: 19-35 - [c196]Siyuan Qiao, Wei Shen, Zhishuai Zhang, Bo Wang, Alan L. Yuille:
Deep Co-Training for Semi-Supervised Image Recognition. ECCV (15) 2018: 142-159 - [c195]Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan L. Yuille:
Weakly Supervised Region Proposal Network and Object Detection. ECCV (11) 2018: 370-386 - [c194]Yan Wang, Lingxi Xie, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Alan L. Yuille:
Multi-scale Spatially-Asymmetric Recalibration for Image Classification. ECCV (13) 2018: 523-539 - [c193]Hong Chen, Zhenhua Fan, Hao Lu, Alan L. Yuille, Shu Rong:
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution. EMNLP 2018: 172-181 - [c192]Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille:
Mitigating Adversarial Effects Through Randomization. ICLR (Poster) 2018 - [c191]Siyuan Qiao, Zhishuai Zhang, Wei Shen, Bo Wang, Alan L. Yuille:
Gradually Updated Neural Networks for Large-Scale Image Recognition. ICML 2018: 4185-4194 - [c190]Jinhang Choi, Kevin M. Irick, Justin Hardin, Weichao Qiu, Alan L. Yuille, Jack Sampson, Vijaykrishnan Narayanan:
Stochastic Functional Verification of DNN Design through Progressive Virtual Dataset Generation. ISCAS 2018: 1-5 - [c189]Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. MICCAI (4) 2018: 434-442 - [c188]Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille:
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net. MICCAI (4) 2018: 445-453 - [c187]Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng, Alan L. Yuille:
Scene Graph Parsing as Dependency Parsing. NAACL-HLT 2018: 397-407 - [i105]Yuan Gao, Qi She, Jiayi Ma, Mingbo Zhao, Wei Liu, Alan L. Yuille:
NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction. CoRR abs/1801.08297 (2018) - [i104]Siyuan Qiao, Wei Shen, Zhishuai Zhang, Bo Wang, Alan L. Yuille:
Deep Co-Training for Semi-Supervised Image Recognition. CoRR abs/1803.05984 (2018) - [i103]Cihang Xie, Zhishuai Zhang, Jianyu Wang, Yuyin Zhou, Zhou Ren, Alan L. Yuille:
Improving Transferability of Adversarial Examples with Input Diversity. CoRR abs/1803.06978 (2018) - [i102]Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng, Alan L. Yuille:
Scene Graph Parsing as Dependency Parsing. CoRR abs/1803.09189 (2018) - [i101]Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe:
Adversarial Attacks and Defences Competition. CoRR abs/1804.00097 (2018) - [i100]Qi Chen, Weichao Qiu, Yi Zhang, Lingxi Xie, Alan L. Yuille:
SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data. CoRR abs/1804.00248 (2018) - [i99]Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille:
Bridging the Gap Between 2D and 3D Organ Segmentation. CoRR abs/1804.00392 (2018) - [i98]Yan Wang, Lingxi Xie, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Alan L. Yuille:
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification. CoRR abs/1804.00787 (2018) - [i97]Yuyin Zhou, Yan Wang, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Semi-supervised multi-organ segmentation via multi-planar co-training. CoRR abs/1804.02586 (2018) - [i96]Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. CoRR abs/1804.02595 (2018) - [i95]Yan Wang, Yuyin Zhou, Wei Shen, Seyoun Park, Elliot K. Fishman, Alan L. Yuille:
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion. CoRR abs/1804.08414 (2018) - [i94]Fengze Liu, Lingxi Xie, Yingda Xia, Elliot K. Fishman, Alan L. Yuille:
Joint Shape Representation and Classification for Detecting PDAC. CoRR abs/1804.10684 (2018) - [i93]Alan L. Yuille, Chenxi Liu:
Deep Nets: What have they ever done for Vision? CoRR abs/1805.04025 (2018) - [i92]Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille:
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students. CoRR abs/1805.05551 (2018) - [i91]Yunhan Zhao, Ye Tian, Wei Shen, Alan L. Yuille:
Spatial Transformer Introspective Neural Network. CoRR abs/1805.06447 (2018) - [i90]Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille:
Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma. CoRR abs/1807.02941 (2018) - [i89]Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille:
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. CoRR abs/1807.03342 (2018) - [i88]Richard J. Chen, Faisal Mahmood, Alan L. Yuille, Nicholas J. Durr:
Rethinking Monocular Depth Estimation with Adversarial Training. CoRR abs/1808.07528 (2018) - [i87]Chenxu Luo, Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia, Alan L. Yuille:
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding. CoRR abs/1810.06125 (2018) - [i86]Hong Chen, Zhenhua Fan, Hao Lu, Alan L. Yuille, Shu Rong:
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution. CoRR abs/1810.09807 (2018) - [i85]Chenxu Luo, Xiao Chu, Alan L. Yuille:
OriNet: A Fully Convolutional Network for 3D Human Pose Estimation. CoRR abs/1811.04989 (2018) - [i84]Zhishuai Zhang, Wei Shen, Siyuan Qiao, Yan Wang, Bo Wang, Alan L. Yuille:
Robust Face Detection via Learning Small Faces on Hard Images. CoRR abs/1811.11662 (2018) - [i83]Huangjie Zheng, Lingxi Xie, Tianwei Ni, Ya Zhang, Yan-Feng Wang, Qi Tian, Elliot K. Fishman, Alan L. Yuille:
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation. CoRR abs/1811.11814 (2018) - [i82]Yutong Bai, Qing Liu, Lingxi Xie, Yan Zheng, Weichao Qiu, Alan L. Yuille:
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data. CoRR abs/1811.11823 (2018) - [i81]Xutong Ren, Lingxi Xie, Chen Wei, Siyuan Qiao, Chi Su, Jiaying Liu, Alan L. Yuille:
Progressive Recurrent Learning for Visual Recognition. CoRR abs/1811.12047 (2018) - [i80]Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. CoRR abs/1811.12506 (2018) - [i79]Chenglin Yang, Lingxi Xie, Chi Su, Alan L. Yuille:
Snapshot Distillation: Teacher-Student Optimization in One Generation. CoRR abs/1812.00123 (2018) - [i78]Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille:
Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning. CoRR abs/1812.00329 (2018) - [i77]Siyuan Qiao, Zhe L. Lin, Jianming Zhang, Alan L. Yuille:
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization. CoRR abs/1812.00481 (2018) - [i76]Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille:
Elastic Boundary Projection for 3D Medical Imaging Segmentation. CoRR abs/1812.00518 (2018) - [i75]Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan L. Yuille:
CRAVES: Controlling Robotic Arm with a Vision-based Economic System. CoRR abs/1812.00725 (2018) - [i74]Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He:
Feature Denoising for Improving Adversarial Robustness. CoRR abs/1812.03411 (2018) - [i73]Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille:
Learning Transferable Adversarial Examples via Ghost Networks. CoRR abs/1812.03413 (2018) - [i72]Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari:
ELASTIC: Improving CNNs with Instance Specific Scaling Policies. CoRR abs/1812.05262 (2018) - 2017
- [j80]Ross B. Girshick, Iasonas Kokkinos, Ivan Laptev, Jitendra Malik, George Papandreou, Andrea Vedaldi, Xiaogang Wang, Shuicheng Yan, Alan L. Yuille:
Editorial- Deep Learning for Computer Vision. Comput. Vis. Image Underst. 164: 1-2 (2017) - [j79]Vittal Premachandran, Daniel Tarlow, Alan L. Yuille, Dhruv Batra:
Empirical Minimum Bayes Risk Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 75-86 (2017) - [j78]Yuan Gao, Jiayi Ma, Alan L. Yuille:
Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples. IEEE Trans. Image Process. 26(5): 2545-2560 (2017) - [j77]Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Xiang Bai, Alan L. Yuille:
DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images. IEEE Trans. Image Process. 26(11): 5298-5311 (2017) - [c186]Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille:
Attention Correctness in Neural Image Captioning. AAAI 2017: 4176-4182 - [c185]Zhou Ren, Hailin Jin, Zhe Lin, Chen Fang, Alan L. Yuille:
Multiple Instance Visual-Semantic Embedding. BMVC 2017 - [c184]Jianyu Wang, Zhishuai Zhang, Cihang Xie, Jun Zhu, Lingxi Xie, Alan L. Yuille:
Detecting Semantic Parts on Partially Occluded Objects. BMVC 2017 - [c183]Alex Wong, Alan L. Yuille, Brian Taylor:
Exploiting Protrusion Cues for Fast and Effective Shape Modeling via Ellipses. BMVC 2017 - [c182]Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan L. Yuille, Xiaogang Wang:
Multi-context Attention for Human Pose Estimation. CVPR 2017: 5669-5678 - [c181]Fangting Xia, Peng Wang, Xianjie Chen, Alan L. Yuille:
Joint Multi-person Pose Estimation and Semantic Part Segmentation. CVPR 2017: 6080-6089 - [c180]Yuan Gao, Alan L. Yuille:
Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images. CVPR 2017: 6718-6727 - [c179]Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan L. Yuille:
Recurrent Multimodal Interaction for Referring Image Segmentation. ICCV 2017: 1280-1289 - [c178]Yan Wang, Lingxi Xie, Chenxi Liu, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Qi Tian, Alan L. Yuille:
SORT: Second-Order Response Transform for Visual Recognition. ICCV 2017: 1368-1377 - [c177]Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan L. Yuille:
Adversarial Examples for Semantic Segmentation and Object Detection. ICCV 2017: 1378-1387 - [c176]Lingxi Xie, Alan L. Yuille:
Genetic CNN. ICCV 2017: 1388-1397 - [c175]Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan L. Yuille:
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond. ICCV 2017: 1809-1818 - [c174]Wei Shen, Bin Wang, Yuan Jiang, Yan Wang, Alan L. Yuille:
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection. ICCV 2017: 2410-2419 - [c173]Ehsan Jahangiri, Alan L. Yuille:
Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections. ICCV Workshops 2017: 805-814 - [c172]Feng Wang, Xiang Xiang, Chang Liu, Trac D. Tran, Austin Reiter, Gregory D. Hager, Harry Quon, Jian Cheng, Alan L. Yuille:
Regularizing face verification nets for pain intensity regression. ICIP 2017: 1087-1091 - [c171]Xingyu Lin, Hao Wang, Zhihao Li, Yimeng Zhang, Alan L. Yuille, Tai Sing Lee:
Transfer of View-manifold Learning to Similarity Perception of Novel Objects. ICLR (Poster) 2017 - [c170]Zhuotun Zhu, Lingxi Xie, Alan L. Yuille:
Object Recognition with and without Objects. IJCAI 2017: 3609-3615 - [c169]Chang Liu, Fuchun Sun, Changhu Wang, Feng Wang, Alan L. Yuille:
MAT: A Multimodal Attentive Translator for Image Captioning. IJCAI 2017: 4033-4039 - [c168]Yuyin Zhou, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille:
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans. MICCAI (3) 2017: 222-230 - [c167]Yuyin Zhou, Lingxi Xie, Wei Shen, Yan Wang, Elliot K. Fishman, Alan L. Yuille:
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans. MICCAI (1) 2017: 693-701 - [c166]Feng Wang, Xiang Xiang, Jian Cheng, Alan Loddon Yuille:
NormFace: L2 Hypersphere Embedding for Face Verification. ACM Multimedia 2017: 1041-1049 - [c165]Wei Shen, Kai Zhao, Yilu Guo, Alan L. Yuille:
Label Distribution Learning Forests. NIPS 2017: 834-843 - [c164]Vittal Premachandran, Boyan Bonev, Xiaochen Lian, Alan L. Yuille:
PASCAL Boundaries: A Semantic Boundary Dataset with a Deep Semantic Boundary Detector. WACV 2017: 73-81 - [i71]Ehsan Jahangiri, Alan L. Yuille:
Generating Multiple Hypotheses for Human 3D Pose Consistent with 2D Joint Detections. CoRR abs/1702.02258 (2017) - [i70]Chang Liu, Fuchun Sun, Changhu Wang, Feng Wang, Alan L. Yuille:
MAT: A Multimodal Attentive Translator for Image Captioning. CoRR abs/1702.05658 (2017) - [i69]Wei Shen, Kai Zhao, Yilu Guo, Alan L. Yuille:
Label Distribution Learning Forests. CoRR abs/1702.06086 (2017) - [i68]Feng Wang, Xiang Xiang, Chang Liu, Trac D. Tran, Austin Reiter, Gregory D. Hager, Harry Quon, Jian Cheng, Alan L. Yuille:
Transferring Face Verification Nets To Pain and Expression Regression. CoRR abs/1702.06925 (2017) - [i67]Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan L. Yuille, Xiaogang Wang:
Multi-Context Attention for Human Pose Estimation. CoRR abs/1702.07432 (2017) - [i66]Yan Wang, Lingxi Xie, Ya Zhang, Wenjun Zhang, Alan L. Yuille:
Deep Collaborative Learning for Visual Recognition. CoRR abs/1703.01229 (2017) - [i65]Lingxi Xie, Alan L. Yuille:
Genetic CNN. CoRR abs/1703.01513 (2017) - [i64]Yan Wang, Lingxi Xie, Chenxi Liu, Ya Zhang, Wenjun Zhang, Alan L. Yuille:
SORT: Second-Order Response Transform for Visual Recognition. CoRR abs/1703.06993 (2017) - [i63]Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan L. Yuille:
Recurrent Multimodal Interaction for Referring Image Segmentation. CoRR abs/1703.07939 (2017) - [i62]Wei Shen, Bin Wang, Yuan Jiang, Yan Wang, Alan L. Yuille:
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection. CoRR abs/1703.08493 (2017) - [i61]Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan L. Yuille:
Adversarial Examples for Semantic Segmentation and Object Detection. CoRR abs/1703.08603 (2017) - [i60]Xingyu Lin, Hao Wang, Zhihao Li, Yimeng Zhang, Alan L. Yuille, Tai Sing Lee:
Transfer of View-manifold Learning to Similarity Perception of Novel Objects. CoRR abs/1704.00033 (2017) - [i59]Feng Wang, Xiang Xiang, Jian Cheng, Alan L. Yuille:
NormFace: L2 Hypersphere Embedding for Face Verification. CoRR abs/1704.06369 (2017) - [i58]Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan L. Yuille:
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond. CoRR abs/1704.06752 (2017) - [i57]Siyuan Qiao, Chenxi Liu, Wei Shen, Alan L. Yuille:
Few-Shot Image Recognition by Predicting Parameters from Activations. CoRR abs/1706.03466 (2017) - [i56]Yuyin Zhou, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille:
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans. CoRR abs/1706.07346 (2017) - [i55]Jianyu Wang, Cihang Xie, Zhishuai Zhang, Jun Zhu, Lingxi Xie, Alan L. Yuille:
Detecting Semantic Parts on Partially Occluded Objects. CoRR abs/1707.07819 (2017) - [i54]Fangting Xia, Peng Wang, Xianjie Chen, Alan L. Yuille:
Joint Multi-Person Pose Estimation and Semantic Part Segmentation. CoRR abs/1708.03383 (2017) - [i53]Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille:
Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation. CoRR abs/1709.04518 (2017) - [i52]Zhishuai Zhang, Cihang Xie, Jianyu Wang, Lingxi Xie, Alan L. Yuille:
DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion. CoRR abs/1709.04577 (2017) - [i51]Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille:
Mitigating adversarial effects through randomization. CoRR abs/1711.01991 (2017) - [i50]Jianyu Wang, Zhishuai Zhang, Cihang Xie, Yuyin Zhou, Vittal Premachandran, Jun Zhu, Lingxi Xie, Alan L. Yuille:
Visual Concepts and Compositional Voting. CoRR abs/1711.04451 (2017) - [i49]Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang, Alan L. Yuille:
Adversarial Attacks Beyond the Image Space. CoRR abs/1711.07183 (2017) - [i48]Boyang Deng, Qing Liu, Siyuan Qiao, Alan L. Yuille:
Unleashing the Potential of CNNs for Interpretable Few-Shot Learning. CoRR abs/1711.08277 (2017) - [i47]Siyuan Qiao, Zhishuai Zhang, Wei Shen, Bo Wang, Alan L. Yuille:
Gradually Updated Neural Networks for Large-Scale Image Recognition. CoRR abs/1711.09280 (2017) - [i46]Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation. CoRR abs/1712.00201 (2017) - [i45]Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo Wang, Alan L. Yuille:
Single-Shot Object Detection with Enriched Semantics. CoRR abs/1712.00433 (2017) - [i44]Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy:
Progressive Neural Architecture Search. CoRR abs/1712.00559 (2017) - [i43]Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille:
Deep Regression Forests for Age Estimation. CoRR abs/1712.07195 (2017) - 2016
- [j76]Hongjing Lu, Randall R. Rojas, Tom Beckers, Alan L. Yuille:
A Bayesian Theory of Sequential Causal Learning and Abstract Transfer. Cogn. Sci. 40(2): 404-439 (2016) - [j75]Alan L. Yuille, Roozbeh Mottaghi:
Complexity of Representation and Inference in Compositional Models with Part Sharing. J. Mach. Learn. Res. 17: 11:1-11:28 (2016) - [j74]Roozbeh Mottaghi, Sanja Fidler, Alan L. Yuille, Raquel Urtasun, Devi Parikh:
Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 74-87 (2016) - [j73]Jiayi Ma, Ji Zhao, Alan L. Yuille:
Non-Rigid Point Set Registration by Preserving Global and Local Structures. IEEE Trans. Image Process. 25(1): 53-64 (2016) - [c163]Chunyu Wang, John Flynn, Yizhou Wang, Alan L. Yuille:
Recognizing Actions in 3D Using Action-Snippets and Activated Simplices. AAAI 2016: 3604-3610 - [c162]Fangting Xia, Jun Zhu, Peng Wang, Alan L. Yuille:
Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features. AAAI 2016: 3632-3640 - [c161]Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy:
Generation and Comprehension of Unambiguous Object Descriptions. CVPR 2016: 11-20 - [c160]Lingxi Xie, Liang Zheng, Jingdong Wang, Alan L. Yuille, Qi Tian:
InterActive: Inter-Layer Activeness Propagation. CVPR 2016: 270-279 - [c159]Chun-yu Wang, Yizhou Wang, Alan L. Yuille:
Mining 3D Key-Pose-Motifs for Action Recognition. CVPR 2016: 2639-2647 - [c158]Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille:
Attention to Scale: Scale-Aware Semantic Image Segmentation. CVPR 2016: 3640-3649 - [c157]Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille:
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform. CVPR 2016: 4545-4554 - [c156]Yuan Gao, Alan L. Yuille:
Symmetric Non-rigid Structure from Motion for Category-Specific Object Structure Estimation. ECCV (2) 2016: 408-424 - [c155]Peng Wang, Alan L. Yuille:
DOC: Deep OCclusion Estimation from a Single Image. ECCV (1) 2016: 545-561 - [c154]Lingxi Xie, Qi Tian, John Flynn, Jingdong Wang, Alan L. Yuille:
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons. ECCV (1) 2016: 645-661 - [c153]Fangting Xia, Peng Wang, Liang-Chieh Chen, Alan L. Yuille:
Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net. ECCV (5) 2016: 648-663 - [c152]Weichao Qiu, Alan L. Yuille:
UnrealCV: Connecting Computer Vision to Unreal Engine. ECCV Workshops (3) 2016: 909-916 - [c151]Zhou Ren, Hailin Jin, Zhe L. Lin, Chen Fang, Alan L. Yuille:
Joint Image-Text Representation by Gaussian Visual-Semantic Embedding. ACM Multimedia 2016: 207-211 - [c150]Peng Wang, Xiaohui Shen, Bryan C. Russell, Scott Cohen, Brian L. Price, Alan L. Yuille:
SURGE: Surface Regularized Geometry Estimation from a Single Image. NIPS 2016: 172-180 - [c149]Junhua Mao, Jiajing Xu, Yushi Jing, Alan L. Yuille:
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images. NIPS 2016: 442-450 - [i42]Lingxi Xie, Liang Zheng, Jingdong Wang, Alan L. Yuille, Qi Tian:
InterActive: Inter-Layer Activeness Propagation. CoRR abs/1605.00052 (2016) - [i41]Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille:
Attention Correctness in Neural Image Captioning. CoRR abs/1605.09553 (2016) - [i40]Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille:
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. CoRR abs/1606.00915 (2016) - [i39]Lingxi Xie, Qi Tian, John Flynn, Jingdong Wang, Alan L. Yuille:
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons. CoRR abs/1607.06514 (2016) - [i38]Yuan Gao, Alan L. Yuille:
Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images. CoRR abs/1607.07129 (2016) - [i37]Weichao Qiu, Alan L. Yuille:
UnrealCV: Connecting Computer Vision to Unreal Engine. CoRR abs/1609.01326 (2016) - [i36]Yuan Gao, Jiayi Ma, Alan L. Yuille:
Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples. CoRR abs/1609.03279 (2016) - [i35]Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Xiang Bai, Alan L. Yuille:
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images. CoRR abs/1609.03659 (2016) - [i34]Yuan Gao, Alan L. Yuille:
Symmetric Non-Rigid Structure from Motion for Category-Specific Object Structure Estimation. CoRR abs/1609.06988 (2016) - [i33]Zhuotun Zhu, Lingxi Xie, Alan L. Yuille:
Object Recognition with and without Objects. CoRR abs/1611.06596 (2016) - [i32]Junhua Mao, Jiajing Xu, Yushi Jing, Alan L. Yuille:
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images. CoRR abs/1611.08321 (2016) - [i31]Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan L. Yuille:
UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision. CoRR abs/1612.04647 (2016) - [i30]Yuyin Zhou, Lingxi Xie, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach. CoRR abs/1612.08230 (2016) - 2015
- [j72]Jiayi Ma, Weichao Qiu, Ji Zhao, Yong Ma, Alan L. Yuille, Zhuowen Tu:
Robust L2E Estimation of Transformation for Non-Rigid Registration. IEEE Trans. Signal Process. 63(5): 1115-1129 (2015) - [c148]Cody Komers, Alan L. Yuille:
A Computational Model of Jazz Improvisation Inspired by Language. CogSci 2015 - [c147]Xuan Dong, Boyan Bonev, Yu Zhu, Alan L. Yuille:
Region-based temporally consistent video post-processing. CVPR 2015: 714-722 - [c146]Jianyu Wang, Alan L. Yuille:
Semantic part segmentation using compositional model combining shape and appearance. CVPR 2015: 1788-1797 - [c145]Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian L. Price, Alan L. Yuille:
Towards unified depth and semantic prediction from a single image. CVPR 2015: 2800-2809 - [c144]Xianjie Chen, Alan L. Yuille:
Parsing occluded people by flexible compositions. CVPR 2015: 3945-3954 - [c143]Yu Zhu, Yanning Zhang, Boyan Bonev, Alan L. Yuille:
Modeling deformable gradient compositions for single-image super-resolution. CVPR 2015: 5417-5425 - [c142]Alex Wong, Alan L. Yuille:
One Shot Learning via Compositions of Meaningful Patches. ICCV 2015: 1197-1205 - [c141]Peng Wang, Xiaohui Shen, Zhe L. Lin, Scott Cohen, Brian L. Price, Alan L. Yuille:
Joint Object and Part Segmentation Using Deep Learned Potentials. ICCV 2015: 1573-1581 - [c140]George Papandreou, Liang-Chieh Chen, Kevin P. Murphy, Alan L. Yuille:
Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation. ICCV 2015: 1742-1750 - [c139]Zhou Ren, Chaohui Wang, Alan L. Yuille:
Scene-Domain Active Part Models for Object Representation. ICCV 2015: 2497-2505 - [c138]Junhua Mao, Xu Wei, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille:
Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. ICCV 2015: 2533-2541 - [c137]Xuan Dong, Lu Yuan, Weixin Li, Alan L. Yuille:
Temporally consistent region-based video exposure correction. ICME 2015: 1-6 - [c136]Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun:
Learning Deep Structured Models. ICML 2015: 1785-1794 - [c135]Peng Wang, Alan L. Yuille:
Error Factor Analysis for Wild Scene Image-Labelling. WACV 2015: 781-788 - [c134]Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille:
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. ICLR (Poster) 2015 - [c133]Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun:
Learning Deep Structured Models. ICLR (Workshop) 2015 - [c132]Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille:
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN). ICLR 2015 - [i29]George Papandreou, Liang-Chieh Chen, Kevin Murphy, Alan L. Yuille:
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation. CoRR abs/1502.02734 (2015) - [i28]Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille:
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. CoRR abs/1504.06692 (2015) - [i27]Peng Wang, Xiaohui Shen, Zhe L. Lin, Scott Cohen, Brian L. Price, Alan L. Yuille:
Joint Object and Part Segmentation using Deep Learned Potentials. CoRR abs/1505.00276 (2015) - [i26]Fangting Xia, Jun Zhu, Peng Wang, Alan L. Yuille:
Pose-Guided Human Parsing with Deep Learned Features. CoRR abs/1508.03881 (2015) - [i25]Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy:
Generation and Comprehension of Unambiguous Object Descriptions. CoRR abs/1511.02283 (2015) - [i24]Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille:
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform. CoRR abs/1511.03328 (2015) - [i23]Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille:
Attention to Scale: Scale-aware Semantic Image Segmentation. CoRR abs/1511.03339 (2015) - [i22]Peng Wang, Alan L. Yuille:
DOC: Deep OCclusion Recovering From A Single Image. CoRR abs/1511.06457 (2015) - [i21]Xuan Dong, Yu Zhu, Weixin Li, Lingxi Xie, Alex Wong, Alan L. Yuille:
Fidelity-Naturalness Evaluation of Single Image Super Resolution. CoRR abs/1511.06834 (2015) - [i20]Jianyu Wang, Zhishuai Zhang, Vittal Premachandran, Alan L. Yuille:
Discovering Internal Representations from Object-CNNs Using Population Encoding. CoRR abs/1511.06855 (2015) - [i19]Fangting Xia, Peng Wang, Liang-Chieh Chen, Alan L. Yuille:
Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net. CoRR abs/1511.06881 (2015) - [i18]Jun Zhu, Xianjie Chen, Alan L. Yuille:
DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization. CoRR abs/1511.07131 (2015) - [i17]Vittal Premachandran, Boyan Bonev, Alan L. Yuille:
PASCAL Boundaries: A Class-Agnostic Semantic Boundary Dataset. CoRR abs/1511.07951 (2015) - [i16]Zhou Ren, Hailin Jin, Zhe L. Lin, Chen Fang, Alan L. Yuille:
Multi-Instance Visual-Semantic Embedding. CoRR abs/1512.06963 (2015) - 2014
- [j71]Alan L. Yuille, Jiebo Luo:
Guest Editorial: Geometry, Lighting, Motion, and Learning. Int. J. Comput. Vis. 107(2): 99-100 (2014) - [j70]Ge Guo, Yizhou Wang, Tingting Jiang, Alan L. Yuille, Fang Fang, Wen Gao:
A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization. Int. J. Comput. Vis. 108(3): 241-258 (2014) - [j69]Ariana E. Anderson, Pamela K. Douglas, Wesley T. Kerr, Virginia S. Haynes, Alan L. Yuille, Jianwen Xie, Ying Nian Wu, Jesse A. Brown, Mark S. Cohen:
Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD. NeuroImage 102: 207-219 (2014) - [j68]Jiayi Ma, Ji Zhao, Jinwen Tian, Alan L. Yuille, Zhuowen Tu:
Robust Point Matching via Vector Field Consensus. IEEE Trans. Image Process. 23(4): 1706-1721 (2014) - [c131]Wenhao Lu, Xiaochen Lian, Alan L. Yuille:
Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency. BMVC 2014 - [c130]Yin Li, Xiaodi Hou, Christof Koch, James M. Rehg, Alan L. Yuille:
The Secrets of Salient Object Segmentation. CVPR 2014: 280-287 - [c129]Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Sanja Fidler, Raquel Urtasun, Alan L. Yuille:
The Role of Context for Object Detection and Semantic Segmentation in the Wild. CVPR 2014: 891-898 - [c128]Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan L. Yuille:
Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts. CVPR 2014: 1979-1986 - [c127]George Papandreou, Liang-Chieh Chen, Alan L. Yuille:
Modeling Image Patches with a Generic Dictionary of Mini-epitomes. CVPR 2014: 2059-2066 - [c126]Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan L. Yuille, Wen Gao:
Robust Estimation of 3D Human Poses from a Single Image. CVPR 2014: 2369-2376 - [c125]Yu Zhu, Yanning Zhang, Alan L. Yuille:
Single Image Super-resolution Using Deformable Patches. CVPR 2014: 2917-2924 - [c124]Junhua Mao, Jun Zhu, Alan L. Yuille:
An Active Patch Model for Real World Texture and Appearance Classification. ECCV (3) 2014: 140-155 - [c123]Jian Dong, Qiang Chen, Shuicheng Yan, Alan L. Yuille:
Towards Unified Object Detection and Semantic Segmentation. ECCV (5) 2014: 299-314 - [c122]Boyan Bonev, Alan L. Yuille:
A Fast and Simple Algorithm for Producing Candidate Regions. ECCV (3) 2014: 535-549 - [c121]Jun Zhu, Junhua Mao, Alan L. Yuille:
Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm. NIPS 2014: 1125-1133 - [c120]Xianjie Chen, Alan L. Yuille:
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations. NIPS 2014: 1736-1744 - [c119]Weichao Qiu, Xinggang Wang, Xiang Bai, Alan L. Yuille, Zhuowen Tu:
Scale-Space SIFT flow. WACV 2014: 1112-1119 - [i15]Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan L. Yuille:
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts. CoRR abs/1406.2031 (2014) - [i14]Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan L. Yuille, Wen Gao:
Robust Estimation of 3D Human Poses from a Single Image. CoRR abs/1406.2282 (2014) - [i13]Wenhao Lu, Xiaochen Lian, Alan L. Yuille:
Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency. CoRR abs/1406.2375 (2014) - [i12]Yin Li, Xiaodi Hou, Christof Koch, James M. Rehg, Alan L. Yuille:
The Secrets of Salient Object Segmentation. CoRR abs/1406.2807 (2014) - [i11]Roozbeh Mottaghi, Sanja Fidler, Alan L. Yuille, Raquel Urtasun, Devi Parikh:
Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding. CoRR abs/1406.3906 (2014) - [i10]Xianjie Chen, Alan L. Yuille:
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations. CoRR abs/1407.3399 (2014) - [i9]Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille:
Explain Images with Multimodal Recurrent Neural Networks. CoRR abs/1410.1090 (2014) - [i8]Xianjie Chen, Alan L. Yuille:
Parsing Occluded People by Flexible Compositions. CoRR abs/1412.1526 (2014) - [i7]Chunyu Wang, John Flynn, Yizhou Wang, Alan L. Yuille:
Representing Data by a Mixture of Activated Simplices. CoRR abs/1412.4102 (2014) - [i6]Jianyu Wang, Alan L. Yuille:
Semantic Part Segmentation using Compositional Model combining Shape and Appearance. CoRR abs/1412.6124 (2014) - 2013
- [j67]Nam-Gyu Cho, Alan L. Yuille, Seong-Whan Lee:
Adaptive occlusion state estimation for human pose tracking under self-occlusions. Pattern Recognit. 46(3): 649-661 (2013) - [c118]Chunyu Wang, Yizhou Wang, Alan L. Yuille:
An Approach to Pose-Based Action Recognition. CVPR 2013: 915-922 - [c117]Xiaobai Liu, Liang Lin, Alan L. Yuille:
Robust Region Grouping via Internal Patch Statistics. CVPR 2013: 1931-1938 - [c116]Xiaodi Hou, Alan L. Yuille, Christof Koch:
Boundary Detection Benchmarking: Beyond F-Measures. CVPR 2013: 2123-2130 - [c115]Jiayi Ma, Ji Zhao, Jinwen Tian, Zhuowen Tu, Alan L. Yuille:
Robust Estimation of Nonrigid Transformation for Point Set Registration. CVPR 2013: 2147-2154 - [c114]Sanja Fidler, Roozbeh Mottaghi, Alan L. Yuille, Raquel Urtasun:
Bottom-Up Segmentation for Top-Down Detection. CVPR 2013: 3294-3301 - [c113]Liang-Chieh Chen, George Papandreou, Alan L. Yuille:
Learning a Dictionary of Shape Epitomes with Applications to Image Labeling. ICCV 2013: 337-344 - [c112]Alan L. Yuille, Roozbeh Mottaghi:
Complexity of Representation and Inference in Compositional Models with Part Sharing. ICLR 2013 - [i5]Xiaodi Hou, Alan L. Yuille, Christof Koch:
A Meta-Theory of Boundary Detection Benchmarks. CoRR abs/1302.5985 (2013) - 2012
- [j66]Alan L. Yuille:
Computer vision needs a core and foundations. Image Vis. Comput. 30(8): 469-471 (2012) - [j65]Yu Nishiyama, Xingyao Ye, Alan L. Yuille:
A Family of CCCP Algorithms Which Minimize the TRW Free Energy. New Gener. Comput. 30(1): 3-16 (2012) - [j64]Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan L. Yuille:
Recursive Segmentation and Recognition Templates for Image Parsing. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 359-371 (2012) - [c111]Nam-Gyu Cho, Alan L. Yuille, Seong-Whan Lee:
Self-occlusion robust 3D human pose tracking from monocular image sequence. SMC 2012: 254-257 - [i4]Pierre-Yves Burgi, Alan L. Yuille, Norberto M. Grzywacz:
Probabilistic Motion Estimation Based on Temporal Coherence. CoRR abs/1201.1216 (2012) - [i3]Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille:
The DLR Hierarchy of Approximate Inference. CoRR abs/1207.1417 (2012) - 2011
- [j63]Long Zhu, Yuanhao Chen, Chenxi Lin, Alan L. Yuille:
Max Margin Learning of Hierarchical Configural Deformable Templates (HCDTs) for Efficient Object Parsing and Pose Estimation. Int. J. Comput. Vis. 93(1): 1-21 (2011) - [j62]Iasonas Kokkinos, Alan L. Yuille:
Inference and Learning with Hierarchical Shape Models. Int. J. Comput. Vis. 93(2): 201-225 (2011) - [j61]Ariana E. Anderson, Jennifer E. Bramen, Pamela K. Douglas, Agatha Lenartowicz, Andrew Y. Cho, Chris Culbertson, Arthur L. Brody, Alan L. Yuille, Mark S. Cohen:
Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering. Int. J. Imaging Syst. Technol. 21(2): 223-231 (2011) - [j60]Long Zhu, Yuanhao Chen, Alan L. Yuille:
Recursive Compositional Models for Vision: Description and Review of Recent Work. J. Math. Imaging Vis. 41(1-2): 122-146 (2011) - [j59]Pamela K. Douglas, Sam Harris, Alan L. Yuille, Mark S. Cohen:
Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief. NeuroImage 56(2): 544-553 (2011) - [c110]Nam-Gyu Cho, Alan L. Yuille, Seong-Whan Lee:
Nonflat observation model and adaptive depth order estimation for 3D human pose tracking. ACPR 2011: 382-386 - [c109]George Papandreou, Alan L. Yuille:
Perturb-and-MAP random fields: Using discrete optimization to learn and sample from energy models. ICCV 2011: 193-200 - [c108]Xingyao Ye, Alan L. Yuille:
Learning a dictionary of deformable patches using GPUs. ICCV Workshops 2011: 483-490 - [c107]Roozbeh Mottaghi, Ananth Ranganathan, Alan L. Yuille:
A compositional approach to learning part-based models of objects. ICCV Workshops 2011: 561-568 - [c106]George Papandreou, Alan L. Yuille:
Efficient variational inference in large-scale Bayesian compressed sensing. ICCV Workshops 2011: 1332-1339 - [c105]Ge Guo, Yizhou Wang, Tingting Jiang, Alan L. Yuille, Wen Gao:
Computing importance of 2D contour parts by reconstructability. ICCV Workshops 2011: 1364-1371 - [c104]Alan L. Yuille:
Towards a theory of compositional learning and encoding of objects. ICCV Workshops 2011: 1448-1455 - [c103]Jung-Jin Lee, Pyoung-Hean Lee, Seong-Whan Lee, Alan L. Yuille, Christof Koch:
AdaBoost for Text Detection in Natural Scene. ICDAR 2011: 429-434 - [i2]George Papandreou, Alan L. Yuille:
Efficient variational inference in large-scale Bayesian compressed sensing. CoRR abs/1107.4637 (2011) - 2010
- [j58]Songfeng Zheng, Alan L. Yuille, Zhuowen Tu:
Detecting object boundaries using low-, mid-, and high-level information. Comput. Vis. Image Underst. 114(10): 1055-1067 (2010) - [j57]Ariana E. Anderson, Ivo D. Dinov, Jonathan E. Sherin, Javier Quintana, Alan L. Yuille, Mark S. Cohen:
Classification of spatially unaligned fMRI scans. NeuroImage 49(3): 2509-2519 (2010) - [j56]Long Zhu, Yuanhao Chen, Alan L. Yuille:
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing. IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 1029-1043 (2010) - [c102]Long Zhu, Yuanhao Chen, Alan L. Yuille, William T. Freeman:
Latent hierarchical structural learning for object detection. CVPR 2010: 1062-1069 - [c101]Long Zhu, Yuanhao Chen, Antonio Torralba, William T. Freeman, Alan L. Yuille:
Part and appearance sharing: Recursive Compositional Models for multi-view. CVPR 2010: 1919-1926 - [c100]Yuanhao Chen, Long Zhu, Alan L. Yuille:
Active Mask Hierarchies for Object Detection. ECCV (5) 2010: 43-56 - [c99]Xuming He, Alan L. Yuille:
Occlusion Boundary Detection Using Pseudo-depth. ECCV (4) 2010: 539-552 - [c98]Hongjing Lu, Tungyou Lin, Alan L. F. Lee, Luminita A. Vese, Alan L. Yuille:
Functional form of motion priors in human motion perception. NIPS 2010: 1495-1503 - [c97]George Papandreou, Alan L. Yuille:
Gaussian sampling by local perturbations. NIPS 2010: 1858-1866 - [c96]Shuang Wu, Xuming He, Hongjing Lu, Alan L. Yuille:
A unified model of short-range and long-range motion perception. NIPS 2010: 2478-2486
2000 – 2009
- 2009
- [j55]Long Zhu, Yuanhao Chen, Alan L. Yuille:
Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories. IEEE Trans. Pattern Anal. Mach. Intell. 31(1): 114-128 (2009) - [j54]Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang Zhang:
Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation, and Recognition Using Knowledge Propagation. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1747-1761 (2009) - [c95]Miyoun Jung, Ginmo Chung, Ganesh Sundaramoorthi, Luminita A. Vese, Alan L. Yuille:
Sobolev gradients and joint variational image segmentation, denoising, and deblurring. Computational Imaging 2009: 72460 - [c94]Long Zhu, Alan L. Yuille:
Recursive compositional models: Representation, learning, and inference. CVPR Workshops 2009: 5 - [c93]Iasonas Kokkinos, Alan L. Yuille:
Inference and learning with hierarchical compositional models. CVPR Workshops 2009: 6 - [c92]Iasonas Kokkinos, Alan L. Yuille:
HOP: Hierarchical object parsing. CVPR 2009: 802-809 - [c91]Alan L. Yuille, Songfeng Zheng:
Compositional noisy-logical learning. ICML 2009: 1209-1216 - [c90]Hongjing Lu, Matthew Weiden, Alan L. Yuille:
Modeling the spacing effect in sequential category learning. NIPS 2009: 1159-1167 - [e4]Daniel Cremers, Bodo Rosenhahn, Alan L. Yuille, Frank R. Schmidt:
Statistical and Geometrical Approaches to Visual Motion Analysis, International Dagstuhl Seminar, Dagstuhl Castle, Germany, July 13-18, 2008. Revised Papers. Lecture Notes in Computer Science 5604, Springer 2009, ISBN 978-3-642-03060-4 [contents] - 2008
- [j53]Zhuowen Tu, Songfeng Zheng, Alan L. Yuille:
Shape matching and registration by data-driven EM. Comput. Vis. Image Underst. 109(3): 290-304 (2008) - [j52]Jason J. Corso, Eitan Sharon, Shishir Dube, Suzie El-Saden, Usha Sinha, Alan L. Yuille:
Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification. IEEE Trans. Medical Imaging 27(5): 629-640 (2008) - [c89]Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang Zhang:
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition. CVPR 2008 - [c88]Jason J. Corso, Alan L. Yuille, Zhuowen Tu:
Graph-shifts: Natural image labeling by dynamic hierarchical computing. CVPR 2008 - [c87]Iasonas Kokkinos, Alan L. Yuille:
Scale invariance without scale selection. CVPR 2008 - [c86]Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan L. Yuille:
Max Margin AND/OR Graph learning for parsing the human body. CVPR 2008 - [c85]Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille:
Structure-perceptron learning of a hierarchical log-linear model. CVPR 2008 - [c84]Shuang Wu, Hongjing Lu, Alan L. F. Lee, Alan L. Yuille:
Motion Integration Using Competitive Priors. Statistical and Geometrical Approaches to Visual Motion Analysis 2008: 235-258 - [c83]Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, Alan L. Yuille:
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion. ECCV (2) 2008: 759-773 - [c82]Jason J. Corso, Zhuowen Tu, Alan L. Yuille:
MRF Labeling with a Graph-Shifts Algorithm. IWCIA 2008: 172-184 - [c81]Shishir Dube, Jason J. Corso, Alan L. Yuille, Timothy F. Cloughesy, Suzie El-Saden, Usha Sinha:
Hierarchical segmentation of malignant gliomas via integrated contextual filter response. Medical Imaging: Image Processing 2008: 69143Y - [c80]Shuang Wu, Hongjing Lu, Alan L. Yuille:
Model selection and velocity estimation using novel priors for motion patterns. NIPS 2008: 1793-1800 - [c79]Leo Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan L. Yuille:
Recursive Segmentation and Recognition Templates for 2D Parsing. NIPS 2008: 1985-1992 - [e3]Daniel Cremers, Bodo Rosenhahn, Alan L. Yuille:
Statistical and Geometrical Approaches to Visual Motion Analysis, 13.07. - 18.07.2008. Dagstuhl Seminar Proceedings 08291, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2008 [contents] - [i1]Daniel Cremers, Bodo Rosenhahn, Alan L. Yuille:
08291 Abstracts Collection - Statistical and Geometrical Approaches to Visual Motion Analysis. Statistical and Geometrical Approaches to Visual Motion Analysis 2008 - 2007
- [j51]Zhuowen Tu, Songfeng Zheng, Alan L. Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga:
Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach. IEEE Trans. Medical Imaging 26(4): 541-552 (2007) - [c78]Songfeng Zheng, Zhuowen Tu, Alan L. Yuille:
Detecting Object Boundaries Using Low-, Mid-, and High-level Information. CVPR 2007 - [c77]Iasonas Kokkinos, Alan L. Yuille:
Unsupervised Learning of Object Deformation Models. ICCV 2007: 1-8 - [c76]Jason J. Corso, Zhuowen Tu, Alan L. Yuille, Arthur W. Toga:
Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm. IPMI 2007: 183-197 - [c75]Jason J. Corso, Alan L. Yuille, Nancy L. Sicotte, Arthur W. Toga:
Detection and Segmentation of Pathological Structures by the Extended Graph-Shifts Algorithm. MICCAI (1) 2007: 985-993 - [c74]Yuanhao Chen, Long Zhu, Chenxi Lin, Alan L. Yuille, HongJiang Zhang:
Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing. NIPS 2007: 289-296 - [c73]Alan L. Yuille, Hongjing Lu:
The Noisy-Logical Distribution and its Application to Causal Inference. NIPS 2007: 1673-1680 - [e2]Alan L. Yuille, Song Chun Zhu, Daniel Cremers, Yongtian Wang:
Energy Minimization Methods in Computer Vision and Pattern Recognition, 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings. Lecture Notes in Computer Science 4679, Springer 2007, ISBN 978-3-540-74195-4 [contents] - 2006
- [c72]Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition. Toward Category-Level Object Recognition 2006: 545-576 - [c71]Iasonas Kokkinos, Petros Maragos, Alan L. Yuille:
Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models. CVPR (2) 2006: 1893-1900 - [c70]Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Paul M. Thompson, Ivo D. Dinov, Arthur W. Toga:
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci. MICCAI (1) 2006: 695-703 - [c69]Jason J. Corso, Eitan Sharon, Alan L. Yuille:
Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation. MICCAI (2) 2006: 790-798 - [c68]Long Zhu, Yuanhao Chen, Alan L. Yuille:
Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing. NIPS 2006: 1617-1624 - 2005
- [j50]Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition. Int. J. Comput. Vis. 63(2): 113-140 (2005) - [c67]Xiangrong Chen, Alan L. Yuille:
A Time-Efficient Cascade for Real-Time Object Detection: With applications for the visually impaired. CVPR Workshops 2005: 28 - [c66]Hongjing Lu, Alan L. Yuille:
Ideal Observers for Detecting Motion: Correspondence Noise. NIPS 2005: 827-834 - [c65]Alan L. Yuille:
Augmented Rescorla-Wagner and Maximum Likelihood Estimation. NIPS 2005: 1561-1568 - [c64]Long Zhu, Alan L. Yuille:
A Hierarchical Compositional System for Rapid Object Detection. NIPS 2005: 1633-1640 - [c63]Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille:
The DLR Hierarchy of Approximate Inference. UAI 2005: 493-500 - [e1]Anand Rangarajan, Baba C. Vemuri, Alan L. Yuille:
Energy Minimization Methods in Computer Vision and Pattern Recognition, 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005, Proceedings. Lecture Notes in Computer Science 3757, Springer 2005, ISBN 3-540-30287-5 [contents] - 2004
- [c62]Xiangrong Chen, Alan L. Yuille:
Detecting and Reading Text in Natural Scenes. CVPR (2) 2004: 366-373 - [c61]Adrian Barbu, Alan L. Yuille:
Motion Estimation by Swendsen-Wang Cuts. CVPR (1) 2004: 754-761 - [c60]Zhuowen Tu, Alan L. Yuille:
Shape Matching and Recognition - Using Generative Models and Informative Features. ECCV (3) 2004: 195-209 - [c59]Alan L. Yuille:
The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters. NIPS 2004: 1585-1592 - [c58]Alan L. Yuille:
The Convergence of Contrastive Divergences. NIPS 2004: 1593-1600 - 2003
- [j49]James M. Coughlan, Alan L. Yuille:
Algorithms from statistical physics for generative models of images. Image Vis. Comput. 21(1): 29-36 (2003) - [j48]Scott Konishi, Alan L. Yuille, James M. Coughlan:
A statistical approach to multi-scale edge detection. Image Vis. Comput. 21(1): 37-48 (2003) - [j47]Alan L. Yuille, Anand Rangarajan:
The Concave-Convex Procedure. Neural Comput. 15(4): 915-936 (2003) - [j46]James M. Coughlan, Alan L. Yuille:
Manhattan World: Orientation and Outlier Detection by Bayesian Inference. Neural Comput. 15(5): 1063-1088 (2003) - [j45]Scott Konishi, Alan L. Yuille, James M. Coughlan, Song Chun Zhu:
Statistical Edge Detection: Learning and Evaluating Edge Cues. IEEE Trans. Pattern Anal. Mach. Intell. 25(1): 57-74 (2003) - [j44]Alan L. Yuille, James M. Coughlan, Scott Konishi:
The Generic Viewpoint Assumption and Planar Bias. IEEE Trans. Pattern Anal. Mach. Intell. 25(6): 775-778 (2003) - [c57]Daniel Cremers, Alan L. Yuille:
A Generative Model Based Approach to Motion Segmentation. DAGM-Symposium 2003: 313-320 - [c56]Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition. ICCV 2003: 18-25 - [c55]Anand Rangarajan, James M. Coughlan, Alan L. Yuille:
A Bayesian Network Framework for Relational Shape Matching. ICCV 2003: 671-678 - [c54]Alan L. Yuille, Fang Fang, Paul R. Schrater, Daniel J. Kersten:
Human and Ideal Observers for Detecting Image Curves. NIPS 2003: 1459-1466 - 2002
- [j43]Alan L. Yuille:
CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation. Neural Comput. 14(7): 1691-1722 (2002) - [j42]James M. Coughlan, Alan L. Yuille:
Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking. Neural Comput. 14(8): 1929-1958 (2002) - 2001
- [j41]Alan L. Yuille, Song Chun Zhu, David Mumford:
Introduction by Guest Editors. Int. J. Comput. Vis. 41(1/2): 7 (2001) - [j40]Alan L. Yuille, James M. Coughlan, Ying Nian Wu, Song Chun Zhu:
Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help? Int. J. Comput. Vis. 41(1/2): 9-33 (2001) - [c53]Alan L. Yuille:
A Double-Loop Algorithm to Minimize the Bethe Free Energy. EMMCVPR 2001: 3-18 - [c52]Alan L. Yuille, James M. Coughlan, Scott Konishi:
The KGBR Viewpoint-Lighting Ambiguity and its Resolution by Generic Constraints. ICCV 2001: 376-382 - [c51]Anand Rangarajan, Alan L. Yuille:
MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation. NIPS 2001: 873-880 - [c50]Alan L. Yuille, Anand Rangarajan:
The Concave-Convex Procedure (CCCP). NIPS 2001: 1033-1040 - [c49]James M. Coughlan, Alan L. Yuille:
The g Factor: Relating Distributions on Features to Distributions on Images. NIPS 2001: 1231-1238 - 2000
- [j39]James M. Coughlan, Alan L. Yuille, Camper English, Daniel Snow:
Efficient Deformable Template Detection and Localization without User Initialization. Comput. Vis. Image Underst. 78(3): 303-319 (2000) - [j38]Song Chun Zhu, Alan L. Yuille, David Mumford:
Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I. Int. J. Comput. Vis. 40(1): 5-6 (2000) - [j37]Pierre-Yves Burgi, Alan L. Yuille, Norberto M. Grzywacz:
Probabilistic Motion Estimation Based on Temporal Coherence. Neural Comput. 12(8): 1839-1867 (2000) - [j36]Alan L. Yuille, James M. Coughlan:
Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 22(2): 160-173 (2000) - [j35]Alan L. Yuille, James M. Coughlan:
An A* perspective on deterministic optimization for deformable templates. Pattern Recognit. 33(4): 603-616 (2000) - [c48]Scott Konishi, Alan L. Yuille:
Statistical cues for Domain Specific Image Segmentation with Performance Analysis. CVPR 2000: 1125-1132 - [c47]Alan L. Yuille, James M. Coughlan, Song Chun Zhu, Ying Nian Wu:
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help? CVPR 2000: 1558-1565 - [c46]James M. Coughlan, Alan L. Yuille:
The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference. NIPS 2000: 845-851
1990 – 1999
- 1999
- [j34]Peter N. Belhumeur, David J. Kriegman, Alan L. Yuille:
The Bas-Relief Ambiguity. Int. J. Comput. Vis. 35(1): 33-44 (1999) - [j33]Alan L. Yuille, Daniel Snow, Russell Epstein, Peter N. Belhumeur:
Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability. Int. J. Comput. Vis. 35(3): 203-222 (1999) - [j32]Anand Rangarajan, Alan L. Yuille, Eric Mjolsness:
Convergence Properties of the Softassign Quadratic Assignment Algorithm. Neural Comput. 11(6): 1455-1474 (1999) - [c45]Scott Konishi, Alan L. Yuille, James M. Coughlan, Song Chun Zhu:
Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues. CVPR 1999: 1573-1579 - [c44]Alan L. Yuille, James M. Coughlan:
High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help? CVPR 1999: 2631- - [c43]James M. Coughlan, Alan L. Yuille:
Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking. EMMCVPR 1999: 189-204 - [c42]James M. Coughlan, Alan L. Yuille:
Manhattan World: Compass Direction from a Single Image by Bayesian Inference. ICCV 1999: 941-947 - [c41]Peter N. Belhumeur, David J. Kriegman, Alan L. Yuille:
Shadows, Shading, and Projective Ambiguity. Shape, Contour and Grouping in Computer Vision 1999: 132-154 - 1998
- [j31]Alan L. Yuille, Mario Ferraro, Tony Zhang:
Image Warping for Shape Recovery and Recognition. Comput. Vis. Image Underst. 72(3): 351-359 (1998) - [c40]James M. Coughlan, Alan L. Yuille, Camper English, Daniel Snow:
Efficient Optimization of a Deformable Template Using Dynamic Programming. CVPR 1998: 747-752 - [c39]Alan L. Yuille, Daniel Snow, Mark Nitzberg:
Signfinder: Using Color to Detect, Localize and Identify Informational Signs. ICCV 1998: 628-633 - [c38]Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grzywacz:
Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence. ICCV 1998: 973-978 - [c37]Tyng-Luh Liu, Davi Geiger, Alan L. Yuille:
Segmenting by seeking the symmetry axis. ICPR 1998: 994-998 - [c36]Alan L. Yuille, James M. Coughlan:
Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours. NIPS 1998: 641-647 - [c35]James M. Coughlan, Alan L. Yuille:
A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations. NIPS 1998: 761-767 - 1997
- [c34]Alan L. Yuille, Daniel Snow:
Shape and albedo from multiple images using integrability. CVPR 1997: 158-164 - [c33]Alan L. Yuille, Mario Ferraro, Tony Zhang:
Surface Shape from Warping. CVPR 1997: 846-851 - [c32]Peter N. Belhumeur, David J. Kriegman, Alan L. Yuille:
The Bas-Relief Ambiguity. CVPR 1997: 1060-1066 - [c31]Alan L. Yuille, James M. Coughlan:
Twenty Questions, Focus of Attention, and A*: A Theoretical Comparison of Optimization Strategies. EMMCVPR 1997: 197-212 - [c30]Alan L. Yuille, Mario Ferraro, Tony Zhang:
Relating Image Warping to 3D Geometrical Deformations. ICIAP (1) 1997: 361-368 - 1996
- [j30]Song Chun Zhu, Alan L. Yuille:
FORMS: A flexible object recognition and modelling system. Int. J. Comput. Vis. 20(3): 187-212 (1996) - [j29]Alan L. Yuille, James A. Kolodny, C. W. Lee:
Dimension reduction, generalized deformable models and the development of ocularity and orientation. Neural Networks 9(2): 309-319 (1996) - [j28]Song Chun Zhu, Alan L. Yuille:
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 18(9): 884-900 (1996) - [c29]Russell Epstein, Alan L. Yuille, Peter N. Belhumeur:
Learning Object Representation form Lighting Variations. Object Representation in Computer Vision 1996: 179-199 - [c28]Anand Rangarajan, Alan L. Yuille, Steven Gold, Eric Mjolsness:
A Convergence Proof for the Softassign Quadratic Assignment Algorithm. NIPS 1996: 620-626 - 1995
- [j27]Yibing Yang, Alan L. Yuille:
Multilevel Enhancement and Detection of Stereo Disparity Surfaces. Artif. Intell. 78(1-2): 121-145 (1995) - [j26]Davi Geiger, Bruce Ladendorf, Alan L. Yuille:
Occlusions and binocular stereo. Int. J. Comput. Vis. 14(3): 211-226 (1995) - [j25]Alan L. Yuille, Stelios M. Smirnakis, Lei Xu:
Bayesian Self-Organization Driven by Prior Probability Distributions. Neural Comput. 7(3): 580-595 (1995) - [j24]Lei Xu, Alan L. Yuille:
Robust principal component analysis by self-organizing rules based on statistical physics approach. IEEE Trans. Neural Networks 6(1): 131-143 (1995) - [c27]Song Chun Zhu, Tai Sing Lee, Alan L. Yuille:
Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. ICCV 1995: 416- - [c26]Song Chun Zhu, Alan L. Yuille:
FORMS: A Flexible Object Recognition and Modelling System. ICCV 1995: 465-472 - [c25]Peter N. Belhumeur, Alan L. Yuille:
Recovering Object Surfaces from Viewed Changes in Surface Texture Patterns. ICCV 1995: 876-881 - [c24]Michael J. Weisman, Alan L. Yuille, James J. Clark:
Parameterized Surface Fitting via MAP Estimation for Binocular Stereo. ICRA 1995: 2049-2053 - 1994
- [j23]Alan L. Yuille, Paul E. Stolorz, Joachim Utans:
Statistical Physics, Mixtures of Distributions, and the EM Algorithm. Neural Comput. 6(2): 334-340 (1994) - [j22]Alan L. Yuille, J. J. Kosowsky:
Statistical Physics Algorithms That Converge. Neural Comput. 6(3): 341-356 (1994) - [j21]Masakazu Matsugu, Alan L. Yuille:
Spatiotemporal information storage in a content addressable memory using realistic neurons. Neural Networks 7(3): 419-439 (1994) - [j20]J. J. Kosowsky, Alan L. Yuille:
The invisible hand algorithm: Solving the assignment problem with statistical physics. Neural Networks 7(3): 477-490 (1994) - [j19]Lei Xu, Adam Krzyzak, Alan L. Yuille:
On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size. Neural Networks 7(4): 609-628 (1994) - [c23]Russell Epstein, Alan L. Yuille:
Training a General Purpose Deformable Template. ICIP (1) 1994: 203-207 - [c22]Song Chun Zhu, Alan L. Yuille:
A Framework for Shape Representation and Recognition. ICIP (1) 1994: 671-675 - 1993
- [j18]Ibrahim M. Elfadel, Alan L. Yuille:
Mean-field phase transitions and correlation functions for Gibbs random fields. J. Math. Imaging Vis. 3(2): 167-186 (1993) - [j17]Berthold K. P. Horn, Richard Szeliski, Alan L. Yuille:
Impossible Shaded Images. IEEE Trans. Pattern Anal. Mach. Intell. 15(2): 166-170 (1993) - [c21]Yibing Yang, Alan L. Yuille, Jie Lu:
Local, global, and multilevel stereo matching. CVPR 1993: 274-279 - [c20]Yibing Yang, Alan L. Yuille:
Multilevel Detection of Stereo Disparity Surfaces. Partitioning Data Sets 1993: 287-309 - [c19]Alan L. Yuille, Stelios M. Smirnakis, Lei Xu:
Bayesian Self-Organization. NIPS 1993: 1001-1008 - 1992
- [j16]Alan L. Yuille, Peter W. Hallinan, David S. Cohen:
Feature extraction from faces using deformable templates. Int. J. Comput. Vis. 8(2): 99-111 (1992) - [j15]Lei Xu, Stan Klasa, Alan L. Yuille:
Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning. Int. J. Neural Syst. 3(3): 253-290 (1992) - [j14]Alan L. Yuille, Luc Vincent, Davi Geiger:
Statistical morphology and Bayesian reconstruction. J. Math. Imaging Vis. 1(3): 223-238 (1992) - [c18]Yibing Yang, Alan L. Yuille:
Grouping Iso-Velocity Points for Ego-Motion Recovery. AAAI 1992: 356-361 - [c17]Tai Sing Lee, David Mumford, Alan L. Yuille:
Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model. ECCV 1992: 165-173 - [c16]Davi Geiger, Bruce Ladendorf, Alan L. Yuille:
Occlusions and Binocular Stereo. ECCV 1992: 425-433 - [c15]Lei Xu, Alan L. Yuille:
Self-Organizing Rules for Robust Principal Component Analysis. NIPS 1992: 467-474 - 1991
- [j13]Davi Geiger, Alan L. Yuille:
A common framework for image segmentation. Int. J. Comput. Vis. 6(3): 227-243 (1991) - [c14]Yihing Yang, Alan L. Yuille:
Sources from shading. CVPR 1991: 534-539 - 1990
- [j12]Alan L. Yuille, Michael Leyton:
3D symmetry-curvature duality theorems. Comput. Vis. Graph. Image Process. 52(1): 124-140 (1990) - [j11]Alan L. Yuille, Davi Geiger:
Stereo and controlled movement. Int. J. Comput. Vis. 4(2): 141-152 (1990) - [j10]Alan L. Yuille:
Generalized Deformable Models, Statistical Physics, and Matching Problems. Neural Comput. 2(1): 1-24 (1990) - [c13]Alan L. Yuille, Davi Geiger, Heinrich H. Bülthoff:
Stereo Integration, Mean Field Theory and Psychophysics. ECCV 1990: 73-82 - [c12]Norberto M. Grzywacz, Alan L. Yuille:
A Model for the Estimate of Local Velocity. ECCV 1990: 331-335 - [c11]P. Lipson, Alan L. Yuille, D. O'Keeffe, J. Cavanaugh, J. Taaffe, D. Rosenthal:
Deformable Templates for Feature Extraction from Medical Images. ECCV 1990: 413-417 - [c10]James J. Clark, Alan L. Yuille:
Shape from shading via the fusion of specular and Lambertian image components. ICPR (1) 1990: 88-92 - [c9]Davi Geiger, Alan L. Yuille:
A common framework for image segmentation. ICPR (1) 1990: 502-507
1980 – 1989
- 1989
- [j9]Alan L. Yuille:
Zero crossings on lines of curvature. Comput. Vis. Graph. Image Process. 45(1): 68-87 (1989) - [j8]Alan L. Yuille, Norberto M. Grzywacz:
A mathematical analysis of the motion coherence theory. Int. J. Comput. Vis. 3(2): 155-175 (1989) - [j7]Alan L. Yuille, Norberto M. Grzywacz:
A Winner-Take-All Mechanism Based on Presynaptic Inhibition Feedback. Neural Comput. 1(3): 334-347 (1989) - [j6]Richard Durbin, Richard Szeliski, Alan L. Yuille:
An Analysis of the Elastic Net Approach to the Traveling Salesman Problem. Neural Comput. 1(3): 348-358 (1989) - [c8]Alan L. Yuille, David S. Cohen, Peter W. Hallinan:
Feature extraction from faces using deformable templates. CVPR 1989: 104-109 - [c7]Ten-lee Hwang, James J. Clark, Alan L. Yuille:
A depth recovery algorithm using defocus information. CVPR 1989: 476-482 - 1988
- [j5]Tomaso A. Poggio, Harry Voorhees, Alan L. Yuille:
A regularized solution to edge detection. J. Complex. 4(2): 106-123 (1988) - [j4]Alan L. Yuille, Daniel M. Kammen:
Spontaneous symmetry-breaking energy functions, orientation selective cortical cells, and hypercolumnar cell assemblies. Neural Networks 1(Supplement-1): 153-156 (1988) - [c6]Michael A. Gennert, Alan L. Yuille:
Determining The Optimal Weights In Multiple Objective Function Optimization. ICCV 1988: 87-89 - [c5]Alan L. Yuille, Norberto M. Grzywacz:
The Motion Coherence Theory. ICCV 1988: 344-353 - [c4]Alan L. Yuille:
The Creation Of Structure In Dynamic Shape. ICCV 1988: 685-689 - 1986
- [j3]Alan L. Yuille, Tomaso A. Poggio:
Scaling Theorems for Zero Crossings. IEEE Trans. Pattern Anal. Mach. Intell. 8(1): 15-25 (1986) - 1985
- [j2]Michael Brady, Jean Ponce, Alan L. Yuille, Haruo Asada:
Describing surfaces. Comput. Vis. Graph. Image Process. 32(1): 1-28 (1985) - 1984
- [j1]Michael Brady, Alan L. Yuille:
An Extremum Principle for Shape from Contour. IEEE Trans. Pattern Anal. Mach. Intell. 6(3): 288-301 (1984) - [c3]Alan L. Yuille, Tomaso A. Poggio:
Fingerprints Theorems. AAAI 1984: 362-365 - [c2]Alan L. Yuille:
The Smoothest Velocity Field Token Matching Schemes. ECAI 1984: 127-136 - 1983
- [c1]Michael Brady, Alan L. Yuille:
An Extremum Principle for Shape From Contour. IJCAI 1983: 969-972
Coauthor Index
[j110] [c345] [j96] [c287] [i216] [i207] [j89] [c267] [c250] [c249] [i172] [i168] [i152] [j87] [c229] [c217] [c214] [c213] [c212] [c211] [c209] [c207] [p2] [p1] [i136] [i134] [i124] [i123] [i113] [c205] [c198] [c189] [c188] [i99] [i97] [i96] [i95] [i94] [i90] [i83] [i76] [c168] [c167] [i56] [i53] [i46] [i30]
[c387] [c380] [c376] [c374] [c372] [c371] [c364] [c363] [i323] [i317] [i314] [i307] [i306] [i303] [i299] [c362] [c357] [c353] [c352] [c347] [c340] [c339] [c337] [i289] [i285] [i283] [i282] [i281] [i280] [i277] [i274] [i273] [i266] [i261] [c335] [c332] [c331] [c324] [c323] [c322] [c318] [c310] [i247] [i244] [i236] [i227] [j99] [c304] [c293] [c290] [c284] [c277] [i223] [i222] [i218] [i215] [i213] [i211] [i206] [i204] [i201] [i194] [i193] [i185] [i184] [c265] [c262] [c257] [c256] [c244] [i179] [i170] [i167] [i162] [i156] [i153] [i148] [i147] [i145] [c216] [i130] [i122] [i119]
Kevin Murphy 0002
aka: Kevin P. Murphy
aka: Kevin P. Murphy
[j103] [j100] [c316] [c312] [c309] [i251] [i248] [i241] [j97] [j96] [c297] [c287] [c286] [c285] [c276] [i207] [i205] [i190] [j93] [c267] [c259] [c257] [c250] [c249] [c243] [c242] [i177] [i176] [i172] [i168] [i155] [i154] [i152] [i150] [j87] [c209] [c207] [p2] [p1] [i139] [i125] [i122] [i117] [i115] [i113] [c205] [c201] [c200] [c199] [c196] [c191] [c189] [i104] [i97] [i96] [i95] [i91] [i89] [i84] [j77] [c175] [c174] [c167] [c165] [i69] [i62] [i58] [i57] [i47] [i46] [i45] [i43] [i35] [i30]
[j112] [c382] [i269] [i255] [j100] [c309] [i251] [i241] [j97] [j96] [i220] [i207] [i199] [j89] [c267] [c249] [c243] [i168] [j87] [c213] [c210] [c207] [p2] [i126] [i125] [i123] [i113] [c201] [c198] [c194] [c189] [i98] [i97] [i96] [i95] [i84] [j77] [c178] [c174] [c167] [i66] [i64] [i62] [i53] [i43] [i35]
[j108] [j106] [c389] [c386] [c378] [c377] [c370] [i324] [i312] [i310] [i304] [i295] [j103] [c355] [c354] [c351] [c343] [i291] [i286] [i276] [i270] [i256] [i253] [c332] [c328] [c314] [c313] [c312] [i246] [i245] [i243] [i237] [i229] [i226] [i224] [c289] [c285] [c279] [i204] [i196] [i192] [i190] [c275] [c270] [c269] [c264] [c256] [c255] [c252] [i173] [i170] [i163] [i154] [i150] [c231] [c227] [i137] [i127] [i121] [i118] [c202] [c200] [c192] [i103] [i101] [i74] [i73] [c184] [c177] [i61] [i55] [i52] [i51] [i50] [i45]
[j103] [j89] [i150] [c238] [c230] [c229] [c226] [c223] [c222] [c221] [c219] [c214] [c212] [p2] [i136] [i135] [c204] [c202] [c198] [c194] [c188] [i100] [i99] [i98] [i94] [i92] [i90] [i83] [i82] [i81] [i79] [i78] [i76] [i75] [c184] [c178] [c177] [c176] [c170] [c168] [c167] [i66] [i65] [i64] [i61] [i56] [i55] [i53] [i52] [i50] [i49] [c160] [c154] [i42] [i39] [i33] [i30] [i21]
[j112] [j108] [j106] [c386] [c377] [c369] [i312] [i305] [c355] [c343] [i276] [i271] [i270] [i269] [i253] [j100] [c328] [c314] [c311] [i251] [i245] [i243] [i237] [i224] [j96] [c306] [i220] [i212] [i207] [j95] [j89] [c275] [c270] [c267] [c264] [c250] [c249] [i176] [i174] [i173] [i168] [i152] [i151] [j87] [c227] [c217] [c213] [c211] [c210] [c209] [c207] [p2] [p1] [i134] [i126] [i124] [i123] [i121] [i113] [c198] [c189] [i103] [i97] [i96] [i95] [i73] [c177] [c168] [c167] [i61] [i56] [i53] [i50] [i30]
[j114] [j113] [j111] [j109] [c385] [c384] [c375] [c373] [c369] [c368] [c367] [c366] [i321] [i320] [i319] [i318] [i316] [i309] [i308] [i301] [i297] [i294] [c361] [c359] [c356] [c350] [c348] [c345] [c344] [c342] [c341] [c338] [i292] [i287] [i284] [i279] [i275] [i271] [i268] [i267] [i264] [c333] [c311] [c309] [i241] [i234] [i232] [i230] [i197] [i187] [i186] [i183]
Long Zhu
aka: Leo Zhu
aka: Leo Zhu
Song-Chun Zhu
aka: Song Chun Zhu
aka: Song Chun Zhu
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