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17th 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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