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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
- 2023
[i255]Zihao Xiao, Alan L. Yuille, Yi-Ting Chen:
Learning Road Scene-level Representations via Semantic Region Prediction. CoRR abs/2301.00714 (2023)- [i254]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) - [i253]Chen Wang, Angtian Wang, Junbo Li, Alan L. Yuille, Cihang Xie:
Benchmarking Robustness in Neural Radiance Fields. CoRR abs/2301.04075 (2023) - [i252]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) - 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) - [c332]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 - [c331]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 - [c330]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 - [c329]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 - [c328]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 - [c327]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 - [c326]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 - [c325]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 - [c324]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 - [c323]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 - [c322]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 - [c321]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 - [c320]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 - [c319]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 - [c318]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 - [c317]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 - [c316]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 - [c315]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 - [c314]Qihao Liu, Yi Zhang, Song Bai, Alan L. Yuille:
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation. ECCV (5) 2022: 497-517 - [c313]Feng Wang, Huiyu Wang, Chen Wei, Alan L. Yuille, Wei Shen:
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation. ECCV (30) 2022: 499-515 - [c312]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 - [c311]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 - [c310]Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie:
Fast AdvProp. ICLR 2022 - [c309]Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong:
Image BERT Pre-training with Online Tokenizer. ICLR 2022 - [c308]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 - [c307]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 - [c306]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 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) - [c305]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 - [c304]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 - [c303]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 - [c302]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 - [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]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 - [c278]Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan L. Yuille, Wei Shen:
Glance-and-Gaze Vision Transformer. NeurIPS 2021: 12992-13003 - [c277]Yutong Bai, Jieru Mei, Alan L. Yuille, Cihang Xie:
Are Transformers more robust than CNNs? NeurIPS 2021: 26831-26843 - [c276]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 - [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]