ECCV 2022

1,645 papers

Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset

Huanjing Yue, Zhiming Zhang, Jingyu Yang

MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects

Juewen Peng, Jianming Zhang, Xianrui Luo, Hao Lu, Ke Xian

LEDNet: Joint Low-Light Enhancement and Deblurring in the Dark

Shangchen Zhou, Chongyi Li, Chen Change Loy

Physically-Based Editing of Indoor Scene Lighting from a Single Image

Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli

FAST-VQA: Efficient End-to-End Video Quality Assessment with Fragment Sampling

Haoning Wu, Chaofeng Chen, Jingwen Hou, Liang Liao, Annan Wang

Practical and Scalable Desktop-Based High-Quality Facial Capture

Alexandros Lattas, Yiming Lin, Jayanth Kannan, Ekin Ozturk, Luca Filipi

Semantic-Sparse Colorization Network for Deep Exemplar-Based Colorization

Yunpeng Bai, Chao Dong, Zenghao Chai, Andong Wang, Zhengzhuo Xu

Projective Parallel Single-Pixel Imaging to Overcome Global Illumination in 3D Structure Light Scanning

Yuxi Li, Huijie Zhao, Hongzhi Jiang, Xudong Li

Boosting Event Stream Super-Resolution with a Recurrent Neural Network

Wenming Weng, Yueyi Zhang, Zhiwei Xiong

Estimating Spatially-Varying Lighting in Urban Scenes with Disentangled Representation

Jiajun Tang, Yongjie Zhu, Haoyu Wang, Jun Hoong Chan, Si Li

DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation

Linzhi Huang, Jiahao Liang, Weihong Deng

PoseGPT: Quantization-Based 3D Human Motion Generation and Forecasting

Thomas Lucas, Fabien Baradel, Philippe Weinzaepfel, Gregory Rogez

Pose for Everything: Towards Category-Agnostic Pose Estimation

Lumin Xu, Sheng Jin, Wang Zeng, Wentao Liu, Chen Qian

3D Interacting Hand Pose Estimation by Hand De-Occlusion and Removal

Hao Meng, Sheng Jin, Wentao Liu, Chen Qian, Mengxiang Lin

DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation

Jaewoo Park, Nam Ik Cho

PoseScript: 3D Human Poses from Natural Language

Ginger Delmas, Philippe Weinzaepfel, Thomas Lucas, Francesc Moreno-Noguer, Gregory Rogez

PressureVision: Estimating Hand Pressure from a Single RGB Image

Patrick Grady, Chengcheng Tang, Samarth Brahmbhatt, Christopher D. Twigg, Chengde Wan

Compositional Human-Scene Interaction Synthesis with Semantic Control

Kaifeng Zhao, Shaofei Wang, Yan Zhang, Thabo Beeler, Siyu Tang

General Object Pose Transformation Network from Unpaired Data

Yukun Su, Guosheng Lin, Ruizhou Sun, Qingyao Wu

Neural Capture of Animatable 3D Human from Monocular Video

Gusi Te, Xiu Li, Xiao Li, Jinglu Wang, Wei Hu

SAGA: Stochastic Whole-Body Grasping with Contact

Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges

Deep Radial Embedding for Visual Sequence Learning

Yuecong Min, Peiqi Jiao, Yanan Li, Xiaotao Wang, Lei Lei

AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling

Ziqian Bai, Timur Bagautdinov, Javier Romero, Michael Zollhöfer, Ping Tan

Grasp’D: Differentiable Contact-Rich Grasp Synthesis for Multi-Fingered Hands

Dylan Turpin, Liquan Wang, Eric Heiden, Yun-Chun Chen, Miles Macklin

EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices

Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Taein Kwon

Learning to Fit Morphable Models

Vasileios Choutas, Federica Bogo, Jingjing Shen, Julien Valentin

Faster VoxelPose: Real-Time 3D Human Pose Estimation by Orthographic Projection

Hang Ye, Wentao Zhu, CHUNYU WANG, Rujie Wu, Yizhou Wang

A Visual Navigation Perspective for Category-Level Object Pose Estimation

Jiaxin Guo, Fangxun Zhong, Rong Xiong, Yun-Hui Liu, Yue Wang

Regularizing Vector Embedding in Bottom-Up Human Pose Estimation

Haixin Wang, Lu Zhou, Yingying Chen, Ming Tang, Jinqiao Wang

SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation

Yanjie Li, Sen Yang, Peidong Liu, Shoukui Zhang, Yunxiao Wang

Poseur: Direct Human Pose Regression with Transformers

Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang

VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data

Jiajun Su, CHUNYU WANG, Xiaoxuan Ma, Wenjun Zeng, Yizhou Wang

Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation

William McNally, Kanav Vats, Alexander Wong, John McPhee

Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction

Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian

UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture

Hiroyasu Akada, Jian Wang, Soshi Shimada, Masaki Takahashi, Christian Theobalt

Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation

Zhehan Kan, Shuoshuo Chen, Zeng Li, Zhihai He

Audio-Driven Stylized Gesture Generation with Flow-Based Model

Sheng Ye, Yu-Hui Wen, Yanan Sun, Ying He, Ziyang Zhang

Structural Triangulation: A Closed-Form Solution to Constrained 3D Human Pose Estimation

Zhuo Chen, Xu Zhao, Xiaoyue Wan

Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction

Xiaoning Sun, Qiongjie Cui, Huaijiang Sun, Bin Li, Weiqing Li

Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement

Junuk Cha, Muhammad Saqlain, Geonu Kim, Mingyu Shin, Seungryul Baek

PoseTrans: A Simple yet Effective Pose Transformation Augmentation for Human Pose Estimation

Wentao Jiang, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo

SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos

Ailing Zeng, Lei Yang, Xuan Ju, Jiefeng Li, Jianyi Wang

DeciWatch: A Simple Baseline for 10× Efficient 2D and 3D Pose Estimation

Ailing Zeng, Xuan Ju, Lei Yang, Ruiyuan Gao, Xizhou Zhu

CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation

Zhihao Li, Jianzhuang Liu, Zhensong Zhang, Songcen Xu, Youliang Yan

Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields

Garvita Tiwari, Dimitrije Antić, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung

C3P: Cross-Domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation

Cunlin Wu, Yang Xiao, Boshen Zhang, Mingyang Zhang, Zhiguo Cao

Identity-Aware Hand Mesh Estimation and Personalization from RGB Images

Deying Kong, Linguang Zhang, Liangjian Chen, Haoyu Ma, Xiangyi Yan

COUCH: Towards Controllable Human-Chair Interactions

Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Vladimir Guzov, Gerard Pons-Moll

Explicit Occlusion Reasoning for Multi-Person 3D Human Pose Estimation

Qihao Liu, Yi Zhang, Song Bai, Alan Yuille

D&D: Learning Human Dynamics from Dynamic Camera

Jiefeng Li, Siyuan Bian, Chao Xu, Gang Liu, Gang Yu

P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation

Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma

AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing

Jiaxi Jiang, Paul Streli, Huajian Qiu, Andreas Fender, Larissa Laich

PPT: Token-Pruned Pose Transformer for Monocular and Multi-View Human Pose Estimation

Haoyu Ma, Zhe Wang, Yifei Chen, Deying Kong, Liangjian Chen

Effective Presentation Attack Detection Driven by Face Related Task

Wentian Zhang, Haozhe Liu, Feng Liu, Raghavendra Ramachandra, Christoph Busch

UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection

Wanyi Zhuang, Qi Chu, Zhentao Tan, Qiankun Liu, Haojie Yuan

GaitEdge: Beyond Plain End-to-End Gait Recognition for Better Practicality

Junhao Liang, Chao Fan, Saihui Hou, Chuanfu Shen, Yongzhen Huang

MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition

Huanzhang Dou, Pengyi Zhang, Wei Su, yunlong yu, Xi Li

Generative Domain Adaptation for Face Anti-Spoofing

Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Ran Yi, Kekai Sheng

Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack

Hoang Tran, Dan Lu, Guannan Zhang

Scaling Adversarial Training to Large Perturbation Bounds

Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu

Towards Effective and Robust Neural Trojan Defenses via Input Filtering

Kien Do, HARIPRIYA HARIKUMAR, Hung Le, Dung Nguyen, Truyen Tran

Zero-Shot Attribute Attacks on Fine-Grained Recognition Models

Nasim Shafiee, Ehsan Elhamifar

Revisiting Outer Optimization in Adversarial Training

Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Nasser M. Nasrabadi

Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation

Ganlin Liu, Xiaowei Huang, Xinping Yi

Learning Energy-Based Models with Adversarial Training

Xuwang Yin, Shiying Li, Gustavo K. Rohde

Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack

Yixu Wang, Jie Li, Hong Liu, Yan Wang, Yongjian Wu

Data-Free Backdoor Removal Based on Channel Lipschitzness

Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu

Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack

Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He

SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination

Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li

Robust Network Architecture Search via Feature Distortion Restraining

Yaguan Qian, Shenghui Huang, Bin Wang, Xiang Ling, Xiaohui Guan

Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips

Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li

UniCR: Universally Approximated Certified Robustness via Randomized Smoothing

Hanbin Hong, Binghui Wang, Yuan Hong

One Size Does NOT Fit All: Data-Adaptive Adversarial Training

Shuo Yang, Chang Xu

Adversarial Contrastive Learning via Asymmetric InfoNCE

Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction

Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone

Generative Multiplane Images: Making a 2D GAN 3D-Aware

Xiaoming Zhao, Fangchang Ma, David Guera, Zhile Ren, Alexander G. Schwing

Adaptive Image Transformations for Transfer-Based Adversarial Attack

Zheng Yuan, Jie Zhang, Shiguang Shan

Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks

Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu

RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN

Huy Phan, Cong Shi, Yi Xie, Tianfang Zhang, Zhuohang Li

Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number

xian wei, Yangyu Xu, Yanhui Huang, Hairong Lv, Hai Lan

Improving Adversarial Robustness of 3D Point Cloud Classification Models

Guanlin Li, Guowen Xu, Han Qiu, Ruan He, Jiwei Li

A Spectral View of Randomized Smoothing under Common Corruptions: Benchmarking and Improving Certified Robustness

Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks

GradAuto: Energy-Oriented Attack on Dynamic Neural Networks

Jianhong Pan, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke

A Large-Scale Multiple-Objective Method for Black-Box Attack against Object Detection

Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li

LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity

Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen

Enhanced Accuracy and Robustness via Multi-Teacher Adversarial Distillation

Shiji Zhao, Jie Yu, Zhenlong Sun, Bo Zhang, Xingxing Wei

Prior-Guided Adversarial Initialization for Fast Adversarial Training

Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma

Frequency Domain Model Augmentation for Adversarial Attack

Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu

Shape Matters: Deformable Patch Attack

Zhaoyu Chen, Bo Li, Shuang Wu, Jianghe Xu, Shouhong Ding

SocialVAE: Human Trajectory Prediction Using Timewise Latents

Pei Xu, Jean-Bernard Hayet, Ioannis Karamouzas

ActionFormer: Localizing Moments of Actions with Transformers

Chen-Lin Zhang, Jianxin Wu, Yin Li

Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos

Tanqiu Qiao, Qianhui Men, Frederick W. B. Li, Yoshiki Kubotani, Shigeo Morishima

Pairwise Contrastive Learning Network for Action Quality Assessment

Mingzhe Li, Hong-Bo Zhang, Qing Lei, Zongwen Fan, Jinghua Liu

Entry-Flipped Transformer for Inference and Prediction of Participant Behavior

Bo Hu, Tat-Jen Cham

Action Quality Assessment with Temporal Parsing Transformer

Yang Bai, Desen Zhou, Songyang Zhang, Jian Wang, Errui Ding

Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection

Zhiwei Yang, Peng Wu, Jing Liu, Xiaotao Liu

Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition

Tianjiao Li, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Anran Wang

Continual 3D Convolutional Neural Networks for Real-Time Processing of Videos

Lukas Hedegaard, Alexandros Iosifidis

Compound Prototype Matching for Few-Shot Action Recognition

Yifei Huang, Lijin Yang, Yoichi Sato

Scale-Aware Spatio-Temporal Relation Learning for Video Anomaly Detection

Guoqiu Li, Guanxiong Cai, Xingyu Zeng, Rui Zhao