CVPR 2022

2,074 papers

Towards Layer-Wise Image Vectorization

Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev

Think Global, Act Local: Dual-Scale Graph Transformer for Vision-and-Language Navigation

Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev

A-ViT: Adaptive Tokens for Efficient Vision Transformer

Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz

Cross-Image Relational Knowledge Distillation for Semantic Segmentation

Chuanguang Yang, Helong Zhou, Zhulin An, Xue Jiang, Yongjun Xu

FashionVLP: Vision Language Transformer for Fashion Retrieval With Feedback

Sonam Goenka, Zhaoheng Zheng, Ayush Jaiswal, Rakesh Chada, Yue Wu

Exploring and Evaluating Image Restoration Potential in Dynamic Scenes

Cheng Zhang, Shaolin Su, Yu Zhu, Qingsen Yan, Jinqiu Sun

Input-Level Inductive Biases for 3D Reconstruction

Wang Yifan, Carl Doersch, Relja Arandjelović, Joao Carreira, Andrew Zisserman

Boosting View Synthesis With Residual Transfer

Xuejian Rong, Jia-Bin Huang, Ayush Saraf, Changil Kim, Johannes Kopf

Noisy Boundaries: Lemon or Lemonade for Semi-Supervised Instance Segmentation?

Zhenyu Wang, Yali Li, Shengjin Wang

Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task

Xiaoqing Ye, Mao Shu, Hanyu Li, Yifeng Shi, Yingying Li

Interacting Attention Graph for Single Image Two-Hand Reconstruction

Mengcheng Li, Liang An, Hongwen Zhang, Lianpeng Wu, Feng Chen

Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels

Hehe Fan, Xiaojun Chang, Wanyue Zhang, Yi Cheng, Ying Sun

Visual Vibration Tomography: Estimating Interior Material Properties From Monocular Video

Berthy T. Feng, Alexander C. Ogren, Chiara Daraio, Katherine L. Bouman

ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation

Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao

INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation

Leyao Liu, Tian Zheng, Yun-Jou Lin, Kai Ni, Lu Fang

Learning To Detect Scene Landmarks for Camera Localization

Tien Do, Ondrej Miksik, Joseph DeGol, Hyun Soo Park, Sudipta N. Sinha

Not All Relations Are Equal: Mining Informative Labels for Scene Graph Generation

Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen

Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements

Dongdong Chen, Julián Tachella, Mike E. Davies

Sparse and Complete Latent Organization for Geospatial Semantic Segmentation

Fengyu Yang, Chenyang Ma

Bending Reality: Distortion-Aware Transformers for Adapting to Panoramic Semantic Segmentation

Jiaming Zhang, Kailun Yang, Chaoxiang Ma, Simon Reiß, Kunyu Peng

vCLIMB: A Novel Video Class Incremental Learning Benchmark

Andrés Villa, Kumail Alhamoud, Victor Escorcia, Fabian Caba, Juan Leon Alcazar

Contrastive Conditional Neural Processes

Zesheng Ye, Lina Yao

Fine-Tuning Image Transformers Using Learnable Memory

Mark Sandler, Andrey Zhmoginov, Max Vladymyrov, Andrew Jackson

HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization

Mengtian Li, Yuan Xie, Yunhang Shen, Bo Ke, Ruizhi Qiao

Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors

Baorui Ma, Yu-Shen Liu, Zhizhong Han

DAD-3DHeads: A Large-Scale Dense, Accurate and Diverse Dataset for 3D Head Alignment From a Single Image

Tetiana Martyniuk, Orest Kupyn, Yana Kurlyak, Igor Krashenyi, Jiri Matas

Minh Hieu Phan, The-Anh Ta, Son Lam Phung, Long Tran-Thanh, Abdesselam Bouzerdoum

Geometric and Textural Augmentation for Domain Gap Reduction

Xiao-Chang Liu, Yong-Liang Yang, Peter Hall

Failure Modes of Domain Generalization Algorithms

Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan

Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation

Shuying Liu, Wenbin Wu, Jiaxian Wu, Yue Lin

Learning Semantic Associations for Mirror Detection

Huankang Guan, Jiaying Lin, Rynson W.H. Lau

Upright-Net: Learning Upright Orientation for 3D Point Cloud

Xufang Pang, Feng Li, Ning Ding, Xiaopin Zhong

Point-Level Region Contrast for Object Detection Pre-Training

Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan Yuille, Alexander C. Berg

Weakly Supervised Semantic Segmentation Using Out-of-Distribution Data

Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim

Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification

Chao Wu, Wenhang Ge, Ancong Wu, Xiaobin Chang

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett Landman

Differentially Private Federated Learning With Local Regularization and Sparsification

Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari

Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-Learning

Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta

Domain-Agnostic Prior for Transfer Semantic Segmentation

Xinyue Huo, Lingxi Xie, Hengtong Hu, Wengang Zhou, Houqiang Li

Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang

Urban Radiance Fields

Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi

OpenTAL: Towards Open Set Temporal Action Localization

Wentao Bao, Qi Yu, Yu Kong

Learning To Learn and Remember Super Long Multi-Domain Task Sequence

Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang

Feature Statistics Mixing Regularization for Generative Adversarial Networks

Junho Kim, Yunjey Choi, Youngjung Uh

3D Shape Reconstruction From 2D Images With Disentangled Attribute Flow

Xin Wen, Junsheng Zhou, Yu-Shen Liu, Hua Su, Zhen Dong

PanopticDepth: A Unified Framework for Depth-Aware Panoptic Segmentation

Naiyu Gao, Fei He, Jian Jia, Yanhu Shan, Haoyang Zhang

L-Verse: Bidirectional Generation Between Image and Text

Taehoon Kim, Gwangmo Song, Sihaeng Lee, Sangyun Kim, Yewon Seo

TrackFormer: Multi-Object Tracking With Transformers

Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer

Super-Fibonacci Spirals: Fast, Low-Discrepancy Sampling of SO(3)

Marc Alexa

Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond

Qibing Ren, Qingquan Bao, Runzhong Wang, Junchi Yan

Polymorphic-GAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps

Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler

Learning Multiple Adverse Weather Removal via Two-Stage Knowledge Learning and Multi-Contrastive Regularization: Toward a Unified Model

Wei-Ting Chen, Zhi-Kai Huang, Cheng-Che Tsai, Hao-Hsiang Yang, Jian-Jiun Ding

Autofocus for Event Cameras

Shijie Lin, Yinqiang Zhang, Lei Yu, Bin Zhou, Xiaowei Luo

Self-Supervised Object Detection From Audio-Visual Correspondence

Triantafyllos Afouras, Yuki M. Asano, Francois Fagan, Andrea Vedaldi, Florian Metze

CroMo: Cross-Modal Learning for Monocular Depth Estimation

Yannick Verdie, Jifei Song, Barnabé Mas, Benjamin Busam, Ales Leonardis

Surpassing the Human Accuracy: Detecting Gallbladder Cancer From USG Images With Curriculum Learning

Soumen Basu, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora

Attribute Group Editing for Reliable Few-Shot Image Generation

Guanqi Ding, Xinzhe Han, Shuhui Wang, Shuzhe Wu, Xin Jin

"The Pedestrian Next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping

Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden

SelfD: Self-Learning Large-Scale Driving Policies From the Web

Jimuyang Zhang, Ruizhao Zhu, Eshed Ohn-Bar

Recurrent Variational Network: A Deep Learning Inverse Problem Solver Applied to the Task of Accelerated MRI Reconstruction

George Yiasemis, Jan-Jakob Sonke, Clarisa Sánchez, Jonas Teuwen

Scale-Equivalent Distillation for Semi-Supervised Object Detection

Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu

Learning Robust Image-Based Rendering on Sparse Scene Geometry via Depth Completion

Yuqi Sun, Shili Zhou, Ri Cheng, Weimin Tan, Bo Yan

Contrastive Learning for Space-Time Correspondence via Self-Cycle Consistency

Jeany Son

Improving Visual Grounding With Visual-Linguistic Verification and Iterative Reasoning

Li Yang, Yan Xu, chunfeng yuan, Wei Liu, Bing Li

3D Photo Stylization: Learning To Generate Stylized Novel Views From a Single Image

Fangzhou Mu, Jian Wang, Yicheng Wu, Yin Li

Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression

Xiaosu Zhu, Jingkuan Song, Lianli Gao, Feng Zheng, Heng Tao Shen

ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging

Jiancheng YANG, Udaranga Wickramasinghe, Bingbing Ni, Pascal Fua

Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon

Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji

Shunted Self-Attention via Multi-Scale Token Aggregation

Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang

Visual Acoustic Matching

Changan Chen, Ruohan Gao, Paul Calamia, Kristen Grauman

Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination

Yiqun Mei, Pengfei Guo, Vishal M. Patel

An Image Patch Is a Wave: Phase-Aware Vision MLP

Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li

Discrete Time Convolution for Fast Event-Based Stereo

Kaixuan Zhang, Kaiwei Che, Jianguo Zhang, Jie Cheng, Ziyang Zhang

Few-Shot Incremental Learning for Label-to-Image Translation

Pei Chen, Yangkang Zhang, Zejian Li, Lingyun Sun

Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning

Matthew Gwilliam, Abhinav Shrivastava

Semantic-Aligned Fusion Transformer for One-Shot Object Detection

Yizhou Zhao, Xun Guo, Yan Lu

Negative-Aware Attention Framework for Image-Text Matching

Kun Zhang, Zhendong Mao, Quan Wang, Yongdong Zhang

A Keypoint-Based Global Association Network for Lane Detection

Jinsheng Wang, Yinchao Ma, Shaofei Huang, Tianrui Hui, Fei Wang

Manifold Learning Benefits GANs

Yao Ni, Piotr Koniusz, Richard Hartley, Richard Nock

Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective

Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre Alahi

DyTox: Transformers for Continual Learning With DYnamic TOken eXpansion

Arthur Douillard, Alexandre Rame, Guillaume Couairon, Matthieu Cord

A Self-Supervised Descriptor for Image Copy Detection

Ed Pizzi, Sreya Dutta Roy, Sugosh Nagavara Ravindra, Priya Goyal, Matthijs Douze

Attributable Visual Similarity Learning

Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu

Learning To Learn by Jointly Optimizing Neural Architecture and Weights

Yadong Ding, Yu Wu, Chengyue Huang, Siliang Tang, Yi Yang

Decoupling and Recoupling Spatiotemporal Representation for RGB-D-Based Motion Recognition

Benjia Zhou, Pichao WANG, Jun Wan, Yanyan Liang, Fan Wang

Investigating Top-k White-Box and Transferable Black-Box Attack

Chaoning Zhang, Philipp Benz, Adil Karjauv, Jae Won Cho, Kang Zhang

Many-to-Many Splatting for Efficient Video Frame Interpolation

Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko

Likert Scoring With Grade Decoupling for Long-Term Action Assessment

Angchi Xu, Ling-An Zeng, Wei-Shi Zheng

AR-NeRF: Unsupervised Learning of Depth and Defocus Effects From Natural Images With Aperture Rendering Neural Radiance Fields

Takuhiro Kaneko

JRDB-Act: A Large-Scale Dataset for Spatio-Temporal Action, Social Group and Activity Detection

Mahsa Ehsanpour, Fatemeh Saleh, Silvio Savarese, Ian Reid, Hamid Rezatofighi

Exploring Effective Data for Surrogate Training Towards Black-Box Attack

Xuxiang Sun, Gong Cheng, Hongda Li, Lei Pei, Junwei Han

DenseCLIP: Language-Guided Dense Prediction With Context-Aware Prompting

Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu

ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval

Mengjun Cheng, Yipeng Sun, Longchao Wang, Xiongwei Zhu, Kun Yao

Probing Representation Forgetting in Supervised and Unsupervised Continual Learning

MohammadReza Davari, Nader Asadi, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky

On the Importance of Asymmetry for Siamese Representation Learning

Xiao Wang, haoqi fan, Yuandong Tian, Daisuke Kihara, Xinlei Chen

A Voxel Graph CNN for Object Classification With Event Cameras

Yongjian Deng, Hao Chen, Hai Liu, Youfu Li

Degree-of-Linear-Polarization-Based Color Constancy

Taishi Ono, Yuhi Kondo, Legong Sun, Teppei Kurita, Yusuke Moriuchi

COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval

Haoyu Lu, Nanyi Fei, Yuqi Huo, Yizhao Gao, Zhiwu Lu

When To Prune? A Policy Towards Early Structural Pruning

Maying Shen, Pavlo Molchanov, Hongxu Yin, Jose M. Alvarez