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ORCID17th ECCV 2022: Tel Aviv, Israel - Volume 12
- 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 XII. Lecture Notes in Computer Science 13672, Springer 2022, ISBN 978-3-031-19774-1 - Vladimir Chikin, Kirill Solodskikh, Irina Zhelavskaya:
Explicit Model Size Control and Relaxation via Smooth Regularization for Mixed-Precision Quantization. 1-16 - Han-Byul Kim, Eunhyeok Park, Sungjoo Yoo:
BASQ: Branch-wise Activation-clipping Search Quantization for Sub-4-bit Neural Networks. 17-33 - Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang:
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. 34-51 - Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma:
Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks. 52-68 - Vaikkunth Mugunthan, Eric Lin, Vignesh Gokul, Christian Lau, Lalana Kagal, Steven D. Pieper:
FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks. 69-85 - Joshua Andle, Salimeh Yasaei Sekeh:
Theoretical Understanding of the Information Flow on Continual Learning Performance. 86-101 - Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda:
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. 102-120 - Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, Junmo Kim:
On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network. 121-136 - Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat:
LANA: Latency Aware Network Acceleration. 137-156 - Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar:
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. 157-172 - Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard:
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search. 173-190 - Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun:
PTQ4ViT: Post-training Quantization for Vision Transformers with Twin Uniform Quantization. 191-207 - Jiseok Youn, Jaehun Song, Hyung-Sin Kim, Saewoong Bahk:
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach. 208-224 - Yao Lu, Wen Yang, Yunzhe Zhang, Zuohui Chen, Jinyin Chen, Qi Xuan, Zhen Wang, Xiaoniu Yang:
Understanding the Dynamics of DNNs Using Graph Modularity. 225-242 - Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat:
Latent Discriminant Deterministic Uncertainty. 243-260 - Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram:
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. 261-279 - Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky:
HIVE: Evaluating the Human Interpretability of Visual Explanations. 280-298 - Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata:
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. 299-317 - Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
SESS: Saliency Enhancing with Scaling and Sliding. 318-333 - Roni Paiss, Hila Chefer, Lior Wolf:
No Token Left Behind: Explainability-Aided Image Classification and Generation. 334-350 - Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski:
Interpretable Image Classification with Differentiable Prototypes Assignment. 351-368 - Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti:
Contributions of Shape, Texture, and Color in Visual Recognition. 369-386 - Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord:
STEEX: Steering Counterfactual Explanations with Semantics. 387-403 - Jindong Gu, Volker Tresp, Yao Qin:
Are Vision Transformers Robust to Patch Perturbations? 404-421 - Gautam Machiraju, Sylvia K. Plevritis, Parag Mallick:
A Dataset Generation Framework for Evaluating Megapixel Image Classifiers and Their Explanations. 422-442 - Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok:
Cartoon Explanations of Image Classifiers. 443-458 - Quan Zheng, ZiWei Wang, Jie Zhou, Jiwen Lu:
Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value. 459-474 - Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shengchuan Zhang, Liujuan Cao, Rongrong Ji:
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain. 475-491 - Zhaodong Sun, Xiaobai Li:
Contrast-Phys: Unsupervised Video-Based Remote Physiological Measurement via Spatiotemporal Contrast. 492-510 - Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huang, Hongkai Xiong:
Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-supervised Exploration for Face Anti-spoofing. 511-528 - Yingjie Chen, Huasong Zhong, Chong Chen, Chen Shen, Jianqiang Huang, Tao Wang, Yun Liang, Qianru Sun:
On Mitigating Hard Clusters for Face Clustering. 529-544 - Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang, Gangming Zhao, Ke Xu:
OneFace: One Threshold for All. 545-561 - Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu:
Label2Label: A Language Modeling Framework for Multi-attribute Learning. 562-579 - Gee-Sern Hsu, Rui-Cang Xie, Zhi-Ting Chen, Yu-Hong Lin:
AgeTransGAN for Facial Age Transformation with Rectified Performance Metrics. 580-595 - Zhihao Gu, Taiping Yao, Yang Chen, Shouhong Ding, Lizhuang Ma:
Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection. 596-613 - Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu:
Rethinking Robust Representation Learning Under Fine-Grained Noisy Faces. 614-630 - Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, Kyoobin Lee:
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition. 631-647 - Tohar Lukov, Na Zhao, Gim Hee Lee, Ser-Nam Lim:
Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions. 648-665 - Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, Jiwen Lu:
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis. 666-682 - Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu:
CoupleFace: Relation Matters for Face Recognition Distillation. 683-700 - Feng Liu, Minchul Kim, Anil K. Jain, Xiaoming Liu:
Controllable and Guided Face Synthesis for Unconstrained Face Recognition. 701-719 - Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li:
Towards Robust Face Recognition with Comprehensive Search. 720-736 - Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Victor Chen:
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian. 737-753
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