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ORCID17th ECCV 2022: Tel Aviv, Israel - Volume 21
- Shai Avidan, Gabriel J. Brostow
, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXI. Lecture Notes in Computer Science 13681, Springer 2022, ISBN 978-3-031-19802-1 - Kwang In Kim:
Active Label Correction Using Robust Parameter Update and Entropy Propagation. 1-16 - Justin Theiss, Jay Leverett, Daeil Kim, Aayush Prakash:
Unpaired Image Translation via Vector Symbolic Architectures. 17-32 - Jihao Liu, Xin Huang, Guanglu Song, Hongsheng Li, Yu Liu:
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP. 33-49 - Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu:
AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers. 50-67 - Kan Wu, Jinnian Zhang, Houwen Peng, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan:
TinyViT: Fast Pretraining Distillation for Small Vision Transformers. 68-85 - Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong:
Equivariant Hypergraph Neural Networks. 86-103 - Jiyang Xie, Xiu Su, Shan You, Zhanyu Ma, Fei Wang, Chen Qian:
ScaleNet: Searching for the Model to Scale. 104-120 - Vincent Le Guen, Clément Rambour, Nicolas Thome:
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. 121-138 - Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiao-Gang Wang, Chang Xu:
ViTAS: Vision Transformer Architecture Search. 139-157 - Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov:
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. 158-175 - Lei Wang, Piotr Koniusz:
Uncertainty-DTW for Time Series and Sequences. 176-195 - Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh:
Black-Box Few-Shot Knowledge Distillation. 196-211 - Jim Davis, Logan Frank:
Revisiting Batch Norm Initialization. 212-228 - Ho Man Kwan, Shenghui Song:
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling. 229-244 - Zhiqiang He, Yaguan Qian, Yuqi Wang, Bin Wang, Xiaohui Guan, Zhaoquan Gu, Xiang Ling, Shaoning Zeng, Haijiang Wang, Wujie Zhou:
Filter Pruning via Feature Discrimination in Deep Neural Networks. 245-261 - Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu:
LA3: Efficient Label-Aware AutoAugment. 262-277 - Alireza Ganjdanesh, Shangqian Gao, Heng Huang:
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. 278-296 - Yue Zhao, Junzhou Chen, Zirui Zhang, Ronghui Zhang:
BA-Net: Bridge Attention for Deep Convolutional Neural Networks. 297-312 - Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey:
SAU: Smooth Activation Function Using Convolution with Approximate Identities. 313-329 - Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane:
Multi-Exit Semantic Segmentation Networks. 330-349 - Bernd Prach, Christoph H. Lampert:
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks. 350-365 - Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen, Liwei Wang:
PointScatter: Point Set Representation for Tubular Structure Extraction. 366-383 - Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, Liwei Wang:
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection. 384-400 - Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen:
Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. 401-419 - Ziqi Zhou, Lei Qi, Yinghuan Shi:
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration. 420-436 - Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth:
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. 437-455 - Jiacheng Wang, Yueming Jin, Liansheng Wang:
Personalizing Federated Medical Image Segmentation via Local Calibration. 456-472 - Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang:
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement. 473-489 - Ming-Yang Ho, Min-Sheng Wu, Che-Ming Wu:
Ultra-High-Resolution Unpaired Stain Transformation via Kernelized Instance Normalization. 490-505 - Wenxuan Wang, Chen Chen, Jing Wang, Sen Zha, Yan Zhang, Jiangyun Li:
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation. 506-522 - Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He, Jianhua Yao:
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images. 523-539 - Axel Levy, Frédéric Poitevin, Julien N. P. Martel, Youssef S. G. Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein:
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images. 540-557 - Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu:
UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier. 558-575 - Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
DLME: Deep Local-Flatness Manifold Embedding. 576-592 - Jiazhen Liu, Xirong Li, Qijie Wei, Jie Xu, Dayong Ding:
Semi-supervised Keypoint Detector and Descriptor for Retinal Image Matching. 593-609 - Tal Ben-Haim, Tammy Riklin Raviv:
Graph Neural Network for Cell Tracking in Microscopy Videos. 610-626 - Yujin Oh, Jong Chul Ye:
CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation. 627-643 - Qinwen Huang, Ye Zhou, Hsuan-Fu Liu, Alberto Bartesaghi:
Accurate Detection of Proteins in Cryo-Electron Tomograms from Sparse Labels. 644-660 - Minkyu Jeon, Hyeon-Jin Park, Hyunwoo J. Kim, Michael Morley, Hyunghoon Cho:
k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment. 661-678 - Moinak Bhattacharya, Shubham Jain, Prateek Prasanna:
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification. 679-698 - Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel:
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images. 699-715 - Chongyang Zhong, Lei Hu, Zihao Zhang, Shihong Xia:
Learning Uncoupled-Modulation CVAE for 3D Action-Conditioned Human Motion Synthesis. 716-732 - Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu:
Towards Grand Unification of Object Tracking. 733-751
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