Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 46
Volume 46, Number 1, January 2024
- Liangxi Liu
, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang, Ling Shao:
A Bayesian Federated Learning Framework With Online Laplace Approximation. 1-16 - Shiye Lei, Dacheng Tao:
A Comprehensive Survey of Dataset Distillation. 17-32 - Zhuomin Zhang, Elizabeth C. Mansfield, Jia Li, John Russell, George S. Young, Catherine Adams, Kevin A. Bowley, James Z. Wang:
A Machine Learning Paradigm for Studying Pictorial Realism: How Accurate are Constable's Clouds? 33-42 - Chaoda Zheng, Xu Yan, Haiming Zhang, Baoyuan Wang, Shenghui Cheng, Shuguang Cui, Zhen Li:
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds. 43-60 - Shreya Ghosh, Abhinav Dhall, Munawar Hayat, Jarrod Knibbe, Qiang Ji:
Automatic Gaze Analysis: A Survey of Deep Learning Based Approaches. 61-84 - Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces. 85-102 - Weichao Lan, Yiu-Ming Cheung, Juyong Jiang, Zhikai Hu, Mengke Li:
Compact Neural Network via Stacking Hybrid Units. 103-116 - Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan:
Contextualizing Meta-Learning via Learning to Decompose. 117-133 - Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Learning, Fast and Slow. 134-149 - Ruonan Yu, Songhua Liu, Xinchao Wang:
Dataset Distillation: A Comprehensive Review. 150-170 - Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk:
Deep Efficient Continuous Manifold Learning for Time Series Modeling. 171-184 - Xuezhi Xiang, Rokia Abdeen, Wei Li, Abdulmotaleb El-Saddik:
Deep Scene Flow Learning: From 2D Images to 3D Point Clouds. 185-208 - Viviane Clay, Gordon Pipa, Kai-Uwe Kühnberger, Peter König:
Development of Few-Shot Learning Capabilities in Artificial Neural Networks When Learning Through Self-Supervised Interaction. 209-219 - Lukas Hoyer, Dengxin Dai, Luc Van Gool:
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. 220-235 - Xinghui Li, Kai Han, Shuda Li, Victor Prisacariu:
DualRC: A Dual-Resolution Learning Framework With Neighbourhood Consensus for Visual Correspondences. 236-249 - Yuhui Yuan, Weicong Liang, Henghui Ding, Zhanhao Liang, Chao Zhang, Han Hu:
Expediting Large-Scale Vision Transformer for Dense Prediction Without Fine-Tuning. 250-266 - Xiangkun He, Jingda Wu, Zhiyu Huang, Zhongxu Hu, Jun Wang, Alberto L. Sangiovanni-Vincentelli, Chen Lv:
Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving. 267-279 - Sangwoo Park, Kfir M. Cohen, Osvaldo Simeone:
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction. 280-291 - Pinelopi Papalampidi, Frank Keller, Mirella Lapata:
Finding the Right Moment: Human-Assisted Trailer Creation via Task Composition. 292-304 - Ali Jazayeri, Christopher C. Yang:
Frequent Pattern Mining in Continuous-Time Temporal Networks. 305-321 - Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang:
Generalizing Graph Neural Networks on Out-of-Distribution Graphs. 322-337 - Guangyu Wang, Jinzhi Zhang, Kai Zhang, Ruqi Huang, Lu Fang:
GiganticNVS: Gigapixel Large-Scale Neural Rendering With Implicit Meta-Deformed Manifold. 338-353 - Yunrui Yu, Xitong Gao, Cheng-Zhong Xu:
LAFIT: Efficient and Reliable Evaluation of Adversarial Defenses With Latent Features. 354-369 - Hansen Feng, Lizhi Wang, Yuzhi Wang, Haoqiang Fan, Hua Huang:
Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective. 370-387 - Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Youru Li, Yao Zhao:
Node-Oriented Spectral Filtering for Graph Neural Networks. 388-402 - Wei Zhai, Yang Cao, Jing Zhang, Haiyong Xie, Dacheng Tao, Zheng-Jun Zha:
On Exploring Multiplicity of Primitives and Attributes for Texture Recognition in the Wild. 403-420 - Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility. 421-435 - Zhihao Duan, Ming Lu, Jack Ma, Yuning Huang, Zhan Ma, Fengqing Zhu:
QARV: Quantization-Aware ResNet VAE for Lossy Image Compression. 436-450 - Zhongxi Qiu, Yan Hu, Xiaoshan Chen, Dan Zeng, Qingyong Hu, Jiang Liu:
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation. 451-464 - Hanyang Peng, Yue Yu, Shiqi Yu:
Re-Thinking the Effectiveness of Batch Normalization and Beyond. 465-478 - Long Li, Junwei Han, Nian Liu, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan:
Robust Perception and Precise Segmentation for Scribble-Supervised RGB-D Saliency Detection. 479-496 - Libo Sun, Jia-Wang Bian, Huangying Zhan, Wei Yin, Ian D. Reid, Chunhua Shen:
SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes. 497-508 - Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Yongjian Hu, Alex C. Kot:
Self-Supervised 3D Action Representation Learning With Skeleton Cloud Colorization. 509-524 - Neelu Madan, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection. 525-542 - Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Abdulmotaleb El-Saddik:
Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. 543-560 - Hanrui Wu, Andy M. Yip, Jinyi Long, Jia Zhang, Michael Kwok-Po Ng:
Simplicial Complex Neural Networks. 561-575 - Xuanhong Chen, Bingbing Ni, Yutian Liu, Naiyuan Liu, Zhilin Zeng, Hang Wang:
SimSwap++: Towards Faster and High-Quality Identity Swapping. 576-592 - Boying Li, Danping Zou, Yuan Huang, Xinghan Niu, Ling Pei, Wenxian Yu:
TextSLAM: Visual SLAM With Semantic Planar Text Features. 593-610 - Aming Wu, Cheng Deng:
TIB: Detecting Unknown Objects via Two-Stream Information Bottleneck. 611-625 - Min Wang, Wengang Zhou, Xin Yao, Qi Tian, Houqiang Li:
Towards Codebook-Free Deep Probabilistic Quantization for Image Retrieval. 626-640 - Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li:
Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis. 641-658 - Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li:
A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization. 659-666
Volume 46, Number 2, February 2024
- Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi:
Diffusion Mechanism in Residual Neural Network: Theory and Applications. 667-680 - Peng Li, Jiayin Zhao, Jingyao Wu, Chao Deng, Yuqi Han, Haoqian Wang, Tao Yu:
OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation. 681-694 - Ziwei Wang, Yonhon Ng, Cedric Scheerlinck, Robert E. Mahony:
An Asynchronous Linear Filter Architecture for Hybrid Event-Frame Cameras. 695-711 - Wenke Huang, Mang Ye, Zekun Shi, Bo Du:
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning. 712-728 - Yuxin Qi, Jun Wu, Hansong Xu, Mohsen Guizani:
Blockchain Data Mining With Graph Learning: A Survey. 729-748 - Wuyang Chen, Xinyu Gong, Junru Wu, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang:
Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics. 749-763 - Ning Ding, Chaorui Deng, Mingkui Tan, Qing Du, Zhiwei Ge, Qi Wu:
Image Captioning With Controllable and Adaptive Length Levels. 764-779 - Kuo Gai, Shihua Zhang:
Tessellating the Latent Space for Non-Adversarial Generative Auto-Encoders. 780-792 - Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro:
Progressive Learning of 3D Reconstruction Network From 2D GAN Data. 793-804 - Mani Kumar Tellamekala, Shahin Amiriparian, Björn W. Schuller, Elisabeth André, Timo Giesbrecht, Michel F. Valstar:
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition. 805-822 - Ping Hu, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko:
Video Frame Interpolation With Many-to-Many Splatting and Spatial Selective Refinement. 823-836 - Víctor M. Sánchez-Cartagena, Miquel Esplà-Gomis, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation. 837-850 - Xin Chen, Xiaoling Deng, Yubin Lan, Yongbing Long, Jian Weng, Zhiquan Liu, Qi Tian:
Explanatory Object Part Aggregation for Zero-Shot Learning. 851-868 - Gal Lifshitz, Dan Raviv:
Cost Function Unrolling in Unsupervised Optical Flow. 869-880 - Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Hanqing Zhao, Weiming Zhang, Gang Hua, Nenghai Yu:
Deep Image Matting With Sparse User Interactions. 881-895 - Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang:
MetaFormer Baselines for Vision. 896-912 - Keqiang Sun, Shangzhe Wu, Ning Zhang, Zhaoyang Huang, Quan Wang, Hongsheng Li:
CGOF++: Controllable 3D Face Synthesis With Conditional Generative Occupancy Fields. 913-926 - Daxin Gu, Jia Li, Lin Zhu, Yu Zhang, Jimmy S. Ren:
Reliable Event Generation With Invertible Conditional Normalizing Flow. 927-943 - Yinan Wang, Wenbo Sun, Jionghua Jin, Zhenyu James Kong, Xiaowei Yue:
WOOD: Wasserstein-Based Out-of-Distribution Detection. 944-956 - Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang:
Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status. 957-974 - Xin Li, Wenrui Dai, Shaohui Li, Chenglin Li, Junni Zou, Hongkai Xiong:
3-D Point Cloud Attribute Compression With -Laplacian Embedding Graph Dictionary Learning. 975-993 - Chen Gao, Si Liu, Jinyu Chen, Luting Wang, Qi Wu, Bo Li, Qi Tian:
Room-Object Entity Prompting and Reasoning for Embodied Referring Expression. 994-1010 - Guodong Ding, Fadime Sener, Angela Yao:
Temporal Action Segmentation: An Analysis of Modern Techniques. 1011-1030 - Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong:
Variance Reduced Domain Randomization for Reinforcement Learning With Policy Gradient. 1031-1048 - Guorong Li, Hanhua Ye, Yuankai Qi, Shuhui Wang, Laiyun Qing, Qingming Huang, Ming-Hsuan Yang:
Learning Hierarchical Modular Networks for Video Captioning. 1049-1064 - Yichi Zhang, Minh Tang:
A Theoretical Analysis of DeepWalk and Node2vec for Exact Recovery of Community Structures in Stochastic Blockmodels. 1065-1078 - Fan Fei, Yean Cheng, Yongjie Zhu, Qian Zheng, Si Li, Gang Pan, Boxin Shi:
SPLiT: Single Portrait Lighting Estimation via a Tetrad of Face Intrinsics. 1079-1092 - Yuning Cui, Wenqi Ren, Xiaochun Cao, Alois Knoll:
Image Restoration via Frequency Selection. 1093-1108 - Joshua Tobin, Mimi Zhang:
A Theoretical Analysis of Density Peaks Clustering and the Component-Wise Peak-Finding Algorithm. 1109-1120 - Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang:
Learning Interpretable Rules for Scalable Data Representation and Classification. 1121-1133 - Yongxiang Li, Qiang Zhou, Wei Jiang, Kwok-Leung Tsui:
Optimal Composite Likelihood Estimation and Prediction for Distributed Gaussian Process Modeling. 1134-1147 - Jian Shi, Hakim Ghazzai, Yehia Massoud:
Differentiable Image Data Augmentation and Its Applications: A Survey. 1148-1164 - Xiuwei Xu, Ziwei Wang, Jie Zhou, Jiwen Lu:
Back to Reality: Learning Data-Efficient 3D Object Detector With Shape Guidance. 1165-1180 - Fengyuan Shi, Ruopeng Gao, Weilin Huang, Limin Wang:
Dynamic MDETR: A Dynamic Multimodal Transformer Decoder for Visual Grounding. 1181-1198 - Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang:
False Correlation Reduction for Offline Reinforcement Learning. 1199-1211 - Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao:
ViTPose++: Vision Transformer for Generic Body Pose Estimation. 1212-1230 - Daqi Liu, Miroslaw Bober, Josef Kittler:
Importance Weighted Structure Learning for Scene Graph Generation. 1231-1242 - Yanan Li, Shusen Yang, Xuebin Ren, Liang Shi, Cong Zhao:
Multi-Stage Asynchronous Federated Learning With Adaptive Differential Privacy. 1243-1256 - Enric Corona, Guillem Alenyà, Gerard Pons-Moll, Francesc Moreno-Noguer:
LayerNet: High-Resolution Semantic 3D Reconstruction of Clothed People. 1257-1272 - Xiaoliu Luo, Zhuotao Tian, Taiping Zhang, Bei Yu, Yuan Yan Tang, Jiaya Jia:
PFENet++: Boosting Few-Shot Semantic Segmentation With the Noise-Filtered Context-Aware Prior Mask. 1273-1289 - Yun-Hao Cao, Jianxin Wu:
Tobias: A Random CNN Sees Objects. 1290-1304 - Evangelos Sariyanidi, Casey J. Zampella, Robert T. Schultz, Birkan Tunç:
Inequality-Constrained 3D Morphable Face Model Fitting. 1305-1318
Volume 46, Number 3, March 2024
- Li Liu, Timothy M. Hospedales, Yann LeCun, Mingsheng Long, Jiebo Luo, Wanli Ouyang, Matti Pietikäinen, Tinne Tuytelaars:
Editorial: Learning With Fewer Labels in Computer Vision. 1319-1326 - Yanbei Chen, Massimiliano Mancini, Xiatian Zhu, Zeynep Akata:
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey. 1327-1347 - Jian Ding, Enze Xie, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia:
Deeply Unsupervised Patch Re-Identification for Pre-Training Object Detectors. 1348-1361 - Lang Huang, Chao Zhang, Hongyang Zhang:
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning. 1362-1377 - Wenhan Yang, Robby T. Tan, Shiqi Wang, Alex C. Kot, Jiaying Liu:
Learning to Remove Rain in Video With Self-Supervision. 1378-1396 - Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
Self-Supervised Latent Space Optimization With Nebula Variational Coding. 1397-1411 - Xinwang Liu:
Incomplete Multiple Kernel Alignment Maximization for Clustering. 1412-1424 - Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao:
Few-Shot Learning With a Strong Teacher. 1425-1440 - Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee:
Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning. 1441-1454 - Satoshi Tsutsui, Yanwei Fu, David J. Crandall:
Reinforcing Generated Images via Meta-Learning for One-Shot Fine-Grained Visual Recognition. 1455-1463 - Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features With Limited Labels. 1464-1478 - Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Few-Shot Font Generation With Weakly Supervised Localized Representations. 1479-1495 - Samarth Mishra, Pengkai Zhu, Venkatesh Saligrama:
Interpretable Compositional Representations for Robust Few-Shot Generalization. 1496-1512 - John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven L. Waslander:
Bayesian Embeddings for Few-Shot Open World Recognition. 1513-1529 - Caixia Yan, Xiaojun Chang, Minnan Luo, Huan Liu, Xiaoqin Zhang, Qinghua Zheng:
Semantics-Guided Contrastive Network for Zero-Shot Object Detection. 1530-1544 - Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. 1545-1560 - Pratik Mazumder, Pravendra Singh, Piyush Rai, Vinay P. Namboodiri:
Rectification-Based Knowledge Retention for Task Incremental Learning. 1561-1575 - Hanbin Zhao, Yongjian Fu, Mintong Kang, Qi Tian, Fei Wu, Xi Li:
MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning. 1576-1588 - Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola:
Improving Semantic Segmentation via Efficient Self-Training. 1589-1602 - Ali Akbari, Muhammad Awais, Soroush Fatemifar, Syed Safwan Khalid, Josef Kittler:
RAgE: Robust Age Estimation Through Subject Anchoring With Consistency Regularisation. 1603-1617 - Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon:
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. 1618-1634 - Wenguan Wang, Guolei Sun, Luc Van Gool:
Looking Beyond Single Images for Weakly Supervised Semantic Segmentation Learning. 1635-1649 - Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Recognizing Predictive Substructures With Subgraph Information Bottleneck. 1650-1663 - Jiahua Dong, Yang Cong, Gan Sun, Zhen Fang, Zhengming Ding:
Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation. 1664-1681 - Jing Li, Kang Zhou, Shenhan Qian, Wen Li, Lixin Duan, Shenghua Gao:
Feature Re-Representation and Reliable Pseudo Label Retraining for Cross-Domain Semantic Segmentation. 1682-1694 - Haoyu Ma, Xiangru Lin, Yizhou Yu:
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation. 1695-1710 - Shiyu Xuan, Shiliang Zhang:
Intra-Inter Domain Similarity for Unsupervised Person Re-Identification. 1711-1726 - Minghao Xu, Hang Wang, Bingbing Ni:
Graphical Modeling for Multi-Source Domain Adaptation. 1727-1741 - Hua Zhang, Xiaohong Li, Xiaochun Cao, Hassan Foroosh:
Multiple Adverse Weather Conditions Adaptation for Object Detection via Causal Intervention. 1742-1756 - Xiang Gu, Jian Sun, Zongben Xu:
Unsupervised and Semi-Supervised Robust Spherical Space Domain Adaptation. 1757-1774 - Xi Peng, Fengchun Qiao, Long Zhao:
Out-of-Domain Generalization From a Single Source: An Uncertainty Quantification Approach. 1775-1787 - Gu Wang, Fabian Manhardt, Xingyu Liu, Xiangyang Ji, Federico Tombari:
Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. 1788-1803 - Fei Yin, Yong Zhang, Baoyuan Wu, Yan Feng, Jingyi Zhang, Yanbo Fan, Yujiu Yang:
Generalizable Black-Box Adversarial Attack With Meta Learning. 1804-1818 - Jianpo Su, Hui Shen, Limin Peng, Dewen Hu:
Few-Shot Domain-Adaptive Anomaly Detection for Cross-Site Brain Images. 1819-1835 - Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu:
Open Long-Tailed Recognition in a Dynamic World. 1836-1851 - Feng Liu, Xiaoming Liu:
Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects. 1852-1867 - Weijian Deng, Liang Zheng:
AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation? 1868-1880 - Jin Gao, Yan Lu, Xiaojuan Qi, Yutong Kou, Bing Li, Liang Li, Shan Yu, Weiming Hu:
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking. 1881-1897
Volume 46, Number 4, April 2024
- Feiping Nie, Jingjing Xue, Weizhong Yu, Xuelong Li:
Fast Clustering With Anchor Guidance. 1898-1912 - Xi Zhang, Feifei Zhang, Changsheng Xu:
NExT-OOD: Overcoming Dual Multiple-Choice VQA Biases. 1913-1931 - Zijian Li, Ruichu Cai, Tom Z. J. Fu, Zhifeng Hao, Kun Zhang:
Transferable Time-Series Forecasting Under Causal Conditional Shift. 1932-1949 - Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters:
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics. 1950-1963 - Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Introspective Deep Metric Learning. 1964-1980 - Thang Vu, Kookhoi Kim, Thanh Xuan Nguyen, Tung Minh Luu, Junyeong Kim, Chang D. Yoo:
Scalable SoftGroup for 3D Instance Segmentation on Point Clouds. 1981-1995 - Ruohan Wang, John Isak Texas Falk, Massimiliano Pontil, Carlo Ciliberto:
Robust Meta-Representation Learning via Global Label Inference and Classification. 1996-2010 - Shintaro Shiba, Friedhelm Hamann, Yoshimitsu Aoki, Guillermo Gallego:
Event-Based Background-Oriented Schlieren. 2011-2026 - Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification. 2027-2040 - Morteza Rezanejad, John Wilder, Dirk B. Walther, Allan D. Jepson, Sven J. Dickinson, Kaleem Siddiqi:
Shape-Based Measures Improve Scene Categorization. 2041-2053 - Jiahua Dong, Hongliu Li, Yang Cong, Gan Sun, Yulun Zhang, Luc Van Gool:
No One Left Behind: Real-World Federated Class-Incremental Learning. 2054-2070 - Jonathan Peck, Bart Goossens, Yvan Saeys:
An Introduction to Adversarially Robust Deep Learning. 2071-2090 - Xiu-Shen Wei, He-Yang Xu, Zhiwen Yang, Chen-Long Duan, Yuxin Peng:
Negatives Make a Positive: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning. 2091-2103 - Yao Rong, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Peizhu Qian, Vaibhav V. Unhelkar, Tina Seidel, Gjergji Kasneci, Enkelejda Kasneci:
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations. 2104-2122 - Liulei Li, Wenguan Wang, Tianfei Zhou, Ruijie Quan, Yi Yang:
Semantic Hierarchy-Aware Segmentation. 2123-2138 - Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng:
Semantic Invariant Multi-View Clustering With Fully Incomplete Information. 2139-2150 - Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Jia Zeng, Zhiqi Li, Jiazhi Yang, Hanming Deng, Hao Tian, Enze Xie, Jiangwei Xie, Li Chen, Tianyu Li, Yang Li, Yulu Gao, Xiaosong Jia, Si Liu, Jianping Shi, Dahua Lin, Yu Qiao:
Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe. 2151-2170 - Binglu Wang, Yongqiang Zhao, Le Yang, Teng Long, Xuelong Li:
Temporal Action Localization in the Deep Learning Era: A Survey. 2171-2190 - Rongjie Li, Songyang Zhang, Xuming He:
SGTR+: End-to-End Scene Graph Generation With Transformer. 2191-2205 - Yifan Feng, Shuyi Ji, Yu-Shen Liu, Shaoyi Du, Qionghai Dai, Yue Gao:
Hypergraph-Based Multi-Modal Representation for Open-Set 3D Object Retrieval. 2206-2223 - Jinwoo Bae, Kyumin Hwang, Sunghoon Im:
A Study on the Generality of Neural Network Structures for Monocular Depth Estimation. 2224-2238 - Feng Li, Hao Zhang, Shilong Liu, Jian Guo, Lionel M. Ni, Lei Zhang:
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising. 2239-2251 - Xia-an Bi, YangJun Huang, Zicheng Yang, Ke Chen, Zhao-Xu Xing, Luyun Xu, Xiang Li, Zhengliang Liu, Tianming Liu:
Structure Mapping Generative Adversarial Network for Multi-View Information Mapping Pattern Mining. 2252-2266 - Haohao Sun, Haixia Wang, Yilong Zhang, Ronghua Liang, Peng Chen, Jianjiang Feng:
ZJUT-EIFD: A Synchronously Collected External and Internal Fingerprint Database. 2267-2284 - Shuchen Weng, Boxin Shi:
Conditional Image Repainting. 2285-2298 - Mang Ye, Zesen Wu, Cuiqun Chen, Bo Du:
Channel Augmentation for Visible-Infrared Re-Identification. 2299-2315 - Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng:
Revisiting Computer-Aided Tuberculosis Diagnosis. 2316-2332 - Nan Yin, Li Shen, Huan Xiong, Bin Gu, Chong Chen, Xian-Sheng Hua, Siwei Liu, Xiao Luo:
Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting. 2333-2347 - Xingxing Wei, Yao Huang, Yitong Sun, Jie Yu:
Unified Adversarial Patch for Visible-Infrared Cross-Modal Attacks in the Physical World. 2348-2363 - Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao:
NeUDF: Learning Neural Unsigned Distance Fields With Volume Rendering. 2364-2377 - Haisong Liu, Tao Lu, Yihui Xu, Jia Liu, Limin Wang:
Learning Optical Flow and Scene Flow With Bidirectional Camera-LiDAR Fusion. 2378-2395 - Vasileios Arampatzakis, George Pavlidis, Nikolaos Mitianoudis, Nikos Papamarkos:
Monocular Depth Estimation: A Thorough Review. 2396-2414 - Shuailei Ma, Yuefeng Wang, Shanze Wang, Ying Wei:
FGAHOI: Fine-Grained Anchors for Human-Object Interaction Detection. 2415-2429 - Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, Yizhou Wang:
Human Motion Generation: A Survey. 2430-2449 - Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann:
Detecting Road Obstacles by Erasing Them. 2450-2460 - Gangwei Xu, Yun Wang, Junda Cheng, Jinhui Tang, Xin Yang:
Accurate and Efficient Stereo Matching via Attention Concatenation Volume. 2461-2474 - Guan Wang, Hamid Laga, Anuj Srivastava:
Elastic Shape Analysis of Tree-Like 3D Objects Using Extended SRVF Representation. 2475-2488 - Yue Yao, Liang Zheng, Xiaodong Yang, Milind Napthade, Tom Gedeon:
Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond. 2489-2505 - Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng:
Contrastive Masked Autoencoders are Stronger Vision Learners. 2506-2517 - Wenliang Zhao, Yongming Rao, Jie Zhou, Jiwen Lu:
DIML: Deep Interpretable Metric Learning via Structural Matching. 2518-2532 - Lu Zhang, Lu Qi, Xu Yang, Hong Qiao, Ming-Hsuan Yang, Zhiyong Liu:
Automatically Discovering Novel Visual Categories With Adaptive Prototype Learning. 2533-2544 - Bin Zhao, Pengfei Han, Xuelong Li:
Vehicle Perception From Satellite. 2545-2554
Volume 46, Number 5, May 2024
- Zequn Qin, Pengyi Zhang, Xi Li:
Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification. 2555-2568 - Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama:
On the Robustness of Average Losses for Partial-Label Learning. 2569-2583 - Maciej Besta, Torsten Hoefler:
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis. 2584-2606 - Jiapeng Zhu, Yujun Shen, Yinghao Xu, Deli Zhao, Qifeng Chen, Bolei Zhou:
In-Domain GAN Inversion for Faithful Reconstruction and Editability. 2607-2621 - Tomi H. Kinnunen, Kong Aik Lee, Hemlata Tak, Nicholas W. D. Evans, Andreas Nautsch:
t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators. 2622-2637 - Yi Chang, Yun Guo, Yuntong Ye, Changfeng Yu, Lin Zhu, Xile Zhao, Luxin Yan, Yonghong Tian:
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-Similarity. 2638-2657 - Ruoyi Du, Dongliang Chang, Zhanyu Ma, Kongming Liang, Yi-Zhe Song, Jun Guo:
Semi-Supervised Learning for FGVC With Out-of-Category Data. 2658-2671 - Kummari Naveen Kumar, Chalavadi Krishna Mohan, Linga Reddy Cenkeramaddi:
The Impact of Adversarial Attacks on Federated Learning: A Survey. 2672-2691 - Yi-Xing Peng, Yuanxun Li, Wei-Shi Zheng:
Revisiting Person Re-Identification by Camera Selection. 2692-2708 - Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal:
A Flexible EM-Like Clustering Algorithm for Noisy Data. 2709-2721 - Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin:
DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. 2722-2740 - Ni Zhang, Nian Liu, Fang Nan, Junwei Han:
CADC++: Advanced Consensus-Aware Dynamic Convolution for Co-Salient Object Detection. 2741-2757 - Phong Nguyen, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis. 2758-2769 - Xin Deng, Jingyi Xu, Fangyuan Gao, Xiancheng Sun, Mai Xu:
Deep$\mathrm {M^{2}}$M2CDL: Deep Multi-Scale Multi-Modal Convolutional Dictionary Learning Network. 2770-2787 - Minting Pan, Xiangming Zhu, Yitao Zheng, Yunbo Wang, Xiaokang Yang:
Model-Based Reinforcement Learning With Isolated Imaginations. 2788-2803 - Yuanpei Chen, Yiran Geng, Fangwei Zhong, Jiaming Ji, Jiechuang Jiang, Zongqing Lu, Hao Dong, Yaodong Yang:
Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation. 2804-2818 - Zan Gao, Shengxun Wei, Weili Guan, Lei Zhu, Meng Wang, Shengyong Chen:
Identity-Guided Collaborative Learning for Cloth-Changing Person Reidentification. 2819-2837 - Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He:
Growing Like a Tree: Finding Trunks From Graph Skeleton Trees. 2838-2851 - Bo Huang, Jianan Li, Junjie Chen, Gang Wang, Jian Zhao, Tingfa Xu:
Anti-UAV410: A Thermal Infrared Benchmark and Customized Scheme for Tracking Drones in the Wild. 2852-2865 - Huai Yu, Hao Li, Wen Yang, Lei Yu, Gui-Song Xia:
Detecting Line Segments in Motion-Blurred Images With Events. 2866-2881 - Weibo Shu, Jia Wan, Antoni B. Chan:
Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain. 2882-2899 - Yang He, Lingao Xiao:
Structured Pruning for Deep Convolutional Neural Networks: A Survey. 2900-2919 - Shihua Zhang, Jiayi Ma:
ConvMatch: Rethinking Network Design for Two-View Correspondence Learning. 2920-2935 - Yujun Shi, Jian Liang, Wenqing Zhang, Chuhui Xue, Vincent Y. F. Tan, Song Bai:
Understanding and Mitigating Dimensional Collapse in Federated Learning. 2936-2949 - Cuiqun Chen, Mang Ye, Meibin Qi, Bo Du:
SketchTrans: Disentangled Prototype Learning With Transformer for Sketch-Photo Recognition. 2950-2964 - Bowen Xing, Ivor W. Tsang:
Co-Guiding for Multi-Intent Spoken Language Understanding. 2965-2980 - Yu Zheng, Yueqi Duan, Zongtai Li, Jie Zhou, Jiwen Lu:
Learning Dynamic Scene-Conditioned 3D Object Detectors. 2981-2996 - Fa-Ting Hong, Li Shen, Dan Xu:
DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation. 2997-3012 - Guan'an Wang, Xiaowen Huang, Shaogang Gong, Jian Zhang, Wen Gao:
Faster Person Re-Identification: One-Shot-Filter and Coarse-to-Fine Search. 3013-3030 - Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang:
Binary Graph Convolutional Network With Capacity Exploration. 3031-3046 - Chenglong Zhao, Shibin Mei, Bingbing Ni, Shengchao Yuan, Zhenbo Yu, Jun Wang:
Variational Adversarial Defense: A Bayes Perspective for Adversarial Training. 3047-3063 - Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan:
A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks. 3064-3078 - Daizong Liu, Wei Hu, Xin Li:
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing. 3079-3095 - Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An:
Robust Multi-Agent Communication With Graph Information Bottleneck Optimization. 3096-3107 - Yaning Li, Xue Wang, Guoqing Zhou, Hao Zhu, Qing Wang:
Sheared Epipolar Focus Spectrum for Dense Light Field Reconstruction. 3108-3122 - Wenxiao Wang, Wei Chen, Qibo Qiu, Long Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wei Liu:
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention. 3123-3136 - Lina Liu, Xibin Song, Mengmeng Wang, Yuchao Dai, Yong Liu, Liangjun Zhang:
AGDF-Net: Learning Domain Generalizable Depth Features With Adaptive Guidance Fusion. 3137-3155 - Yan Zeng, Xinsong Zhang, Hang Li, Jiawei Wang, Jipeng Zhang, Wangchunshu Zhou:
X$^{2}$2-VLM: All-in-One Pre-Trained Model for Vision-Language Tasks. 3156-3168 - Zijian Ying, Jing Zhang, Qianmu Li, Ming Wu, Victor S. Sheng:
A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks. 3169-3182 - Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao:
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning. 3183-3198 - Jiwoo Ryu, Scott C. Trager, Michael H. F. Wilkinson:
A Fast Alpha-Tree Algorithm for Extreme Dynamic Range Pixel Dissimilarities. 3199-3212 - Wei Tang, Liang Li, Xuejing Liu, Lu Jin, Jinhui Tang, Zechao Li:
Context Disentangling and Prototype Inheriting for Robust Visual Grounding. 3213-3229 - Amr Morssy, Marcus R. Frean, Paul D. Teal:
Informed Adaptive Sensing. 3230-3241 - Yikai Wang, Yanwei Fu, Xinwei Sun:
Knockoffs-SPR: Clean Sample Selection in Learning With Noisy Labels. 3242-3256 - Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel:
Diffeomorphic Counterfactuals With Generative Models. 3257-3274 - Xiangyu Xu, Lijuan Liu, Shuicheng Yan:
SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose Estimation. 3275-3289 - Wen Shen, Zhihua Wei, Qihan Ren, Binbin Zhang, Shikun Huang, Jiaqi Fan, Quanshi Zhang:
Interpretable Rotation-Equivariant Quaternion Neural Networks for 3D Point Cloud Processing. 3290-3304 - Rushuang Zhou, Lei Lu, Zijun Liu, Ting Xiang, Zhen Liang, David A. Clifton, Yining Dong, Yuan-Ting Zhang:
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study. 3305-3320 - Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad:
Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems. 3321-3333 - Xiaohan Wang, Wenguan Wang, Jiayi Shao, Yi Yang:
Learning to Follow and Generate Instructions for Language-Capable Navigation. 3334-3350 - Yisi Luo, Xile Zhao, Zhemin Li, Michael K. Ng, Deyu Meng:
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery. 3351-3369 - Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu:
Revisiting Confidence Estimation: Towards Reliable Failure Prediction. 3370-3387 - Kun Wang, Yuxuan Liang, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang:
Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets. 3388-3405 - Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan:
Enhancing Visual Grounding in Vision-Language Pre-Training With Position-Guided Text Prompts. 3406-3421 - Kun Zhou, Wenbo Li, Nianjuan Jiang, Xiaoguang Han, Jiangbo Lu:
From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm. 3422-3437 - Jiahang Liu, Xiaozhen Wang, Mao Guo, Ruilei Feng, Yue Wang:
Shadow Detection in Remote Sensing Images Based on Spectral Radiance Separability Enhancement. 3438-3449 - Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko:
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations. 3450-3462 - Wei Tan, Lan Du, Wray L. Buntine:
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning. 3463-3479 - Fangzhou Hong, Lingdong Kong, Hui Zhou, Xinge Zhu, Hongsheng Li, Ziwei Liu:
Unified 3D and 4D Panoptic Segmentation via Dynamic Shifting Networks. 3480-3495 - Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan:
Fast Graph Generation via Spectral Diffusion. 3496-3508 - Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian:
CenterNet++ for Object Detection. 3509-3521 - Xiaobo Xia, Pengqian Lu, Chen Gong, Bo Han, Jun Yu, Jun Yu, Tongliang Liu:
Regularly Truncated M-Estimators for Learning With Noisy Labels. 3522-3536 - Xinzhu Ma, Wanli Ouyang, Andrea Simonelli, Elisa Ricci:
3D Object Detection From Images for Autonomous Driving: A Survey. 3537-3556 - Andrew Melnik, Maksim Miasayedzenkau, Dzianis Makarovets, Dzianis Pirshtuk, Eren Akbulut, Dennis Holzmann, Tarek Renusch, Gustav Reichert, Helge J. Ritter:
Face Generation and Editing With StyleGAN: A Survey. 3557-3576 - Yuanchao Bai, Xianming Liu, Kai Wang, Xiangyang Ji, Xiaolin Wu, Wen Gao:
Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression. 3577-3594 - Min Liu, Yuan Bian, Qing Liu, Xueping Wang, Yaonan Wang:
Weakly Supervised Tracklet Association Learning With Video Labels for Person Re-Identification. 3595-3607 - Qiming Zhang, Jing Zhang, Yufei Xu, Dacheng Tao:
Vision Transformer With Quadrangle Attention. 3608-3624 - Anh Tuan Bui:
Dimension Reduction With Prior Information for Knowledge Discovery. 3625-3636 - Hongmin Cai, Weitian Huang, Sirui Yang, Siqi Ding, Yue Zhang, Bin Hu, Fa Zhang, Yiu-Ming Cheung:
Realize Generative Yet Complete Latent Representation for Incomplete Multi-View Learning. 3637-3652 - Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia:
BAL: Balancing Diversity and Novelty for Active Learning. 3653-3664 - Haokun Wen, Xuemeng Song, Jianhua Yin, Jianlong Wu, Weili Guan, Liqiang Nie:
Self-Training Boosted Multi-Factor Matching Network for Composed Image Retrieval. 3665-3678 - Hu Wang, Mao Ye, Xiatian Zhu, Shuai Li, Xue Li, Ce Zhu:
Compressed-SDR to HDR Video Reconstruction. 3679-3691 - Yuming Jiang, Ziqi Huang, Tianxing Wu, Xingang Pan, Chen Change Loy, Ziwei Liu:
Talk-to-Edit: Fine-Grained 2D and 3D Facial Editing via Dialog. 3692-3706 - Ruicong Liu, Yunfei Liu, Haofei Wang, Feng Lu:
PnP-GA+: Plug-and-Play Domain Adaptation for Gaze Estimation Using Model Variants. 3707-3721 - Liangyu Zhang, Yang Peng, Wenhao Yang, Zhihua Zhang:
Semi-Infinitely Constrained Markov Decision Processes and Provably Efficient Reinforcement Learning. 3722-3735 - Jianan Li, Shaocong Dong, Lihe Ding, Tingfa Xu:
MsSVT++: Mixed-Scale Sparse Voxel Transformer With Center Voting for 3D Object Detection. 3736-3752 - Haotian Wang, Meng Yang, Nanning Zheng:
G2-MonoDepth: A General Framework of Generalized Depth Inference From Monocular RGB+X Data. 3753-3771 - Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang:
Adaptive Cross-Modal Transferable Adversarial Attacks From Images to Videos. 3772-3783 - Lucas Fidon, Michael Aertsen, Florian Kofler, Andrea Bink, Anna L. David, Thomas Deprest, Doaa Emam, Frédéric Guffens, András Jakab, Gregor Kasprian, Patric Kienast, Andrew Melbourne, Bjoern H. Menze, Nada Mufti, Ivana Pogledic, Daniela Prayer, Marlene Stuempflen, Esther Van Elslander, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation. 3784-3795 - Hao Yu, Ji Hou, Zheng Qin, Mahdi Saleh, Ivan Shugurov, Kai Wang, Benjamin Busam, Slobodan Ilic:
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration. 3796-3812 - Zimin Xia, Olaf Booij, Julian F. P. Kooij:
Convolutional Cross-View Pose Estimation. 3813-3831 - Ao Chen, Xiren Zhou, Yizhan Fan, Huanhuan Chen:
Underground Diagnosis Based on GPR and Learning in the Model Space. 3832-3844 - Yingying Wu, Jinchao Liu, Yan Wang, Stuart J. Gibson, Margarita Osadchy, Yongchun Fang:
Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers. 3845-3861 - Bin Fan, Yuchao Dai, Hongdong Li:
Learning Bilateral Cost Volume for Rolling Shutter Temporal Super-Resolution. 3862-3879 - Yifan Feng, Jiashu Han, Shihui Ying, Yue Gao:
Hypergraph Isomorphism Computation. 3880-3896 - Jinyang Yuan, Tonglin Chen, Zhimeng Shen, Bin Li, Xiangyang Xue:
Unsupervised Object-Centric Learning From Multiple Unspecified Viewpoints. 3897-3909 - Haoyu He, Jianfei Cai, Jing Liu, Zizheng Pan, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Pruning Self-Attentions Into Convolutional Layers in Single Path. 3910-3922 - Zongliang Ji, Olga Veksler:
Regularized Loss With Hyperparameter Estimation for Weakly Supervised Single Class Segmentation. 3923-3937 - Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Jingcai Guo, Zhenda Xu, Jingren Zhou:
PASS: Patch Automatic Skip Scheme for Efficient On-Device Video Perception. 3938-3954 - Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying. 3955-3971 - Ziang Li, Yiwen Guo, Haodi Liu, Changshui Zhang:
A Theoretical View of Linear Backpropagation and its Convergence. 3972-3980 - Tie Liu, Shengxi Li, Mai Xu, Li Yang, Xiaofei Wang:
Assessing Face Image Quality: A Large-Scale Database and a Transformer Method. 3981-4000
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-04-26 18:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
