ECCV 2022

1,645 papers

My View Is the Best View: Procedure Learning from Egocentric Videos

Siddhant Bansal, Chetan Arora, C.V. Jawahar

Generative Adversarial Network for Future Hand Segmentation from Egocentric Video

Wenqi Jia, Miao Liu, James M. Rehg

Egocentric Activity Recognition and Localization on a 3D Map

Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman

SOS! Self-Supervised Learning over Sets of Handled Objects in Egocentric Action Recognition

Victor Escorcia, Ricardo Guerrero, Xiatian Zhu, Brais Martinez

Distilling the Undistillable: Learning from a Nasty Teacher

Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N Balasubramanian, Balaji Krishnamurthy

FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations

Cemre Efe Karakas, Alara Dirik, Eylül Yalçınkaya, Pinar Yanardag

Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration

Christian Tomani, Daniel Cremers, Florian Buettner

Latent Space Smoothing for Individually Fair Representations

Momchil Peychev, Anian Ruoss, Mislav Balunovic, Maximilian Baader, Martin Vechev

Privacy-Preserving Action Recognition via Motion Difference Quantization

Sudhakar Kumawat, Hajime Nagahara

Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release

Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma

Recover Fair Deep Classification Models via Altering Pre-trained Structure

Yanfu Zhang, Shangqian Gao, Heng Huang

An Impartial Take to the CNN vs Transformer Robustness Contest

Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania

Anti-Neuron Watermarking: Protecting Personal Data against Unauthorized Neural Networks

Zihang Zou, Boqing Gong, Liqiang Wang

Attaining Class-Level Forgetting in Pretrained Model Using Few Samples

Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim

FairGRAPE: Fairness-Aware GRAdient Pruning mEthod for Face Attribute Classification

Xiaofeng Lin, Seungbae Kim, Jungseock Joo

An Invisible Black-Box Backdoor Attack through Frequency Domain

Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong

Learning to Censor by Noisy Sampling

Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar

"Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness"

Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi

Studying Bias in GANs through the Lens of Race

Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell

MIME: Minority Inclusion for Majority Group Enhancement of AI Performance

Pradyumna Chari, Yunhao Ba, Shreeram Athreya, Achuta Kadambi

Towards Efficient Adversarial Training on Vision Transformers

Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He

Unsupervised and Semi-Supervised Bias Benchmarking in Face Recognition

Alexandra Chouldechova, Siqi Deng, Yongxin Wang, Wei Xia, Pietro Perona

Discover and Mitigate Unknown Biases with Debiasing Alternate Networks

Zhiheng Li, Anthony Hoogs, Chenliang Xu

Towards Metrical Reconstruction of Human Faces

Wojciech Zielonka, Timo Bolkart, Justus Thies

Multi-Domain Learning for Updating Face Anti-Spoofing Models

Xiao Guo, Yaojie Liu, Anil Jain, Xiaoming Liu

Unsupervised High-Fidelity Facial Texture Generation and Reconstruction

Ron Slossberg, Ibrahim Jubran, Ron Kimmel

Order Learning Using Partially Ordered Data via Chainization

Seon-Ho Lee, Chang-Su Kim

Emotion-Aware Multi-View Contrastive Learning for Facial Emotion Recognition

Daeha Kim, Byung Cheol Song

3D Face Reconstruction with Dense Landmarks

Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen

MFIM: Megapixel Facial Identity Manipulation

Sanghyeon Na

Look Both Ways: Self-Supervising Driver Gaze Estimation and Road Scene Saliency

Isaac Kasahara, Simon Stent, Hyun Soo Park

Pre-training Strategies and Datasets for Facial Representation Learning

Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sanchez

BoundaryFace: A Mining Framework with Noise Label Self-Correction for Face Recognition

Shijie Wu, Xun Gong

Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation

Haiwen Feng, Timo Bolkart, Joachim Tesch, Michael J. Black, Victoria Abrevaya

Face2Faceρ: Real-Time High-Resolution One-Shot Face Reenactment

Kewei Yang, Kang Chen, Daoliang Guo, Song-Hai Zhang, Yuan-Chen Guo

Adaptive Transformers for Robust Few-Shot Cross-Domain Face Anti-Spoofing

Hsin-Ping Huang, Deqing Sun, Yaojie Liu, Wen-Sheng Chu, Taihong Xiao

BézierPalm: A Free Lunch for Palmprint Recognition

KAI ZHAO, Lei Shen, Yingyi Zhang, Chuhan Zhou, Tao Wang

AU-Aware 3D Face Reconstruction through Personalized AU-Specific Blendshape Learning

Chenyi Kuang, Zijun Cui, Jeffrey O. Kephart, Qiang Ji

Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian

Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Chen

Towards Robust Face Recognition with Comprehensive Search

Manyuan Zhang, Guanglu Song, Yu Liu, hongsheng Li

Controllable and Guided Face Synthesis for Unconstrained Face Recognition

Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu

CoupleFace: Relation Matters for Face Recognition Distillation

Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang

Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis

Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou

Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions

Tohar Lukov, Na Zhao, Gim Hee Lee, Ser-Nam Lim

Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition

Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, Kyoobin Lee

Rethinking Robust Representation Learning under Fine-Grained Noisy Faces

Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu

Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection

Zhihao Gu, Taiping Yao, Yang Chen, Shouhong Ding, Lizhuang Ma

AgeTransGAN for Facial Age Transformation with Rectified Performance Metrics

Gee-Sern Hsu, Rui-Cang Xie, Zhi-Ting Chen, Yu-Hong Lin

Label2Label: A Language Modeling Framework for Multi-Attribute Learning

Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu

OneFace: One Threshold for All

Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang

On Mitigating Hard Clusters for Face Clustering

Yingjie Chen, Huasong Zhong, Chong Chen, Chen Shen, Jianqiang Huang

Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-Supervised Exploration for Face Anti-Spoofing

Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huang

Contrast-Phys: Unsupervised Video-Based Remote Physiological Measurement via Spatiotemporal Contrast

Zhaodong Sun, Xiaobai Li

Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain

Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu

Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value

Quan Zheng, Ziwei Wang, Jie Zhou, Jiwen Lu

Cartoon Explanations of Image Classifiers

Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok

A Dataset Generation Framework for Evaluating Megapixel Image Classifiers & Their Explanations

Gautam Machiraju, Sylvia Plevritis, Parag Mallick

Are Vision Transformers Robust to Patch Perturbations?

Jindong Gu, Volker Tresp, Yao Qin

STEEX: Steering Counterfactual Explanations with Semantics

Paul Jacob, Eloi Zablocki, Hedi Ben-younes, Mickaël Chen, Patrick Pérez

"Contributions of Shape, Texture, and Color in Visual Recognition"

Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti

Interpretable Image Classification with Differentiable Prototypes Assignment

Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor

No Token Left Behind: Explainability-Aided Image Classification and Generation

Roni Paiss, Hila Chefer, Lior Wolf

SESS: Saliency Enhancing with Scaling and Sliding

Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata

HIVE: Evaluating the Human Interpretability of Visual Explanations

Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky

Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals

Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram

Latent Discriminant Deterministic Uncertainty

Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson

Understanding the Dynamics of DNNs Using Graph Modularity

Yao Lu, Wen Yang, Yunzhe Zhang, Zuohui Chen, Jinyin Chen

Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach

Jiseok Youn, Jaehun Song, Hyung-Sin Kim, Saewoong Bahk

PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization

Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun

U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search

Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard

RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization

Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar

LANA: Latency Aware Network Acceleration

Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolo Fusi

On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network

Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim

Exploring Lottery Ticket Hypothesis in Spiking Neural Networks

Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin

Theoretical Understanding of the Information Flow on Continual Learning Performance

Joshua Andle, Salimeh Yasaei Sekeh

FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks

Vaikkunth Mugunthan, Eric Lin, Vignesh Gokul, Christian Lau, Lalana Kagal

Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks

Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu

You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding

Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li

BASQ: Branch-Wise Activation-Clipping Search Quantization for Sub-4-Bit Neural Networks

Han-Byul Kim, Eunhyeok Park, Sungjoo Yoo

Explicit Model Size Control and Relaxation via Smooth Regularization for Mixed-Precision Quantization

Vladimir Chikin, Kirill Solodskikh, Irina Zhelavskaya

Towards Accurate Network Quantization with Equivalent Smooth Regularizer

Kirill Solodskikh, Vladimir Chikin, Ruslan Aydarkhanov, Dehua Song, Irina Zhelavskaya

Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning

Sayeed Shafayet Chowdhury, Nitin Rathi, Kaushik Roy

Meta-GF: Training Dynamic-Depth Neural Networks Harmoniously

Yi Sun, Jian Li, Xin Xu

SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning

Haoran You, Baopu Li, Zhanyi Sun, Xu Ouyang, Yingyan Lin

Non-uniform Step Size Quantization for Accurate Post-Training Quantization

Sangyun Oh, Hyeonuk Sim, Jounghyun Kim, Jongeun Lee

Soft Masking for Cost-Constrained Channel Pruning

Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, Jose Alvarez

SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning

Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu

Lipschitz Continuity Retained Binary Neural Network

Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie

Network Binarization via Contrastive Learning

Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan

Ensemble Knowledge Guided Sub-network Search and Fine-Tuning for Filter Pruning

Seunghyun Lee, Byung Cheol Song

SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks

Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan

Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies

Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang

Helpful or Harmful: Inter-Task Association in Continual Learning

Hyundong Jin, Eunwoo Kim

Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification

Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Multi-Granularity Pruning for Model Acceleration on Mobile Devices

Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen Yang

l∞-Robustness and Beyond: Unleashing Efficient Adversarial Training

Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie

Switchable Online Knowledge Distillation

Biao Qian, Yang Wang, Hongzhi Yin, Richang Hong, Meng Wang

Self-Slimmed Vision Transformer

Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao

Weight Fixing Networks

Christopher Subia-Waud, Srinandan Dasmahapatra