CVPR 2023

2,353 papers

Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation

Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu

REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory

Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang

Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval

Ding Jiang, Mang Ye

CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion

Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu

BiasAdv: Bias-Adversarial Augmentation for Model Debiasing

Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin

Marching-Primitives: Shape Abstraction From Signed Distance Function

Weixiao Liu, Yuwei Wu, Sipu Ruan, Gregory S. Chirikjian

Simple Cues Lead to a Strong Multi-Object Tracker

Jenny Seidenschwarz, Guillem Braso, Víctor Castro Serrano, Ismail Elezi, Laura Leal-Taixé

Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing

Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Pérez-García, Maximilian Ilse

PRISE: Demystifying Deep Lucas-Kanade With Strongly Star-Convex Constraints for Multimodel Image Alignment

Yiqing Zhang, Xinming Huang, Ziming Zhang

Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels

Jingqiu Zhou, Linjiang Huang, Liang Wang, Si Liu, hongsheng Li

CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search

Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar

SMPConv: Self-Moving Point Representations for Continuous Convolution

Sanghyeon Kim, Eunbyung Park

Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization

Ran Tao, Hao Chen, Marios Savvides

AutoFocusFormer: Image Segmentation off the Grid

Chen Ziwen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren

Multi-View Inverse Rendering for Large-Scale Real-World Indoor Scenes

Zhen Li, Lingli Wang, Mofang Cheng, Cihui Pan, Jiaqi Yang

TransFlow: Transformer As Flow Learner

Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen

Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields

Rohith Agaram, Shaurya Dewan, Rahul Sajnani, Adrien Poulenard, Madhava Krishna

Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation

Pengchong Qiao, Zhidan Wei, Yu Wang, Zhennan Wang, Guoli Song

DLBD: A Self-Supervised Direct-Learned Binary Descriptor

Bin Xiao, Yang Hu, Bo Liu, Xiuli Bi, Weisheng Li

I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs

Jingsen Zhu, Yuchi Huo, Qi Ye, Fujun Luan, Jifan Li

Recurrent Homography Estimation Using Homography-Guided Image Warping and Focus Transformer

Si-Yuan Cao, Runmin Zhang, Lun Luo, Beinan Yu, Zehua Sheng

SCoDA: Domain Adaptive Shape Completion for Real Scans

Yushuang Wu, Zizheng Yan, Ce Chen, Lai Wei, Xiao Li

Learning a 3D Morphable Face Reflectance Model From Low-Cost Data

Yuxuan Han, Zhibo Wang, Feng Xu

Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation

Zicheng Wang, Zhen Zhao, Xiaoxia Xing, Dong Xu, Xiangyu Kong

Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process

Yuhan Li, Yishun Dou, Xuanhong Chen, Bingbing Ni, Yilin Sun

Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions

Yurui Zhu, Tianyu Wang, Xueyang Fu, Xuanyu Yang, Xin Guo

FlowGrad: Controlling the Output of Generative ODEs With Gradients

Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping

Range-Nullspace Video Frame Interpolation With Focalized Motion Estimation

Zhiyang Yu, Yu Zhang, Dongqing Zou, Xijun Chen, Jimmy S. Ren

Semi-Supervised Domain Adaptation With Source Label Adaptation

Yu-Chu Yu, Hsuan-tien Lin

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation

Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima

Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving

Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing XU

An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions

Weijia Li, Saihui Hou, Chunjie Zhang, Chunshui Cao, Xu Liu

OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization

Ying Zhao

Occlusion-Free Scene Recovery via Neural Radiance Fields

Chengxuan Zhu, Renjie Wan, Yunkai Tang, Boxin Shi

Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder

Aming Wu, Cheng Deng

Towards Modality-Agnostic Person Re-Identification With Descriptive Query

Cuiqun Chen, Mang Ye, Ding Jiang

Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit

Xiaohang Wang, Xuanhong Chen, Bingbing Ni, Hang Wang, Zhengyan Tong

Learning Neural Duplex Radiance Fields for Real-Time View Synthesis

Ziyu Wan, Christian Richardt, Aljaz Bozic, CHAO LI, Vijay Rengarajan

SimpSON: Simplifying Photo Cleanup With Single-Click Distracting Object Segmentation Network

Chuong Huynh, Yuqian Zhou, Zhe Lin, Connelly Barnes, Eli Shechtman

Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement

Yuhui Wu, Chen Pan, Guoqing Wang, Yang Yang, Jiwei Wei

Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model

Takehiro Aoshima, Takashi Matsubara

Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert

Jiadong Wang, Xinyuan Qian, Malu Zhang, Robby T. Tan, Haizhou Li

A Meta-Learning Approach to Predicting Performance and Data Requirements

Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran

STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection

Zhenglin Zhou, Huaxia Li, Hong Liu, Nanyang Wang, Gang Yu

Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos

Yubin Hu, Yuze He, Yanghao Li, Jisheng Li, Yuxing Han

Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation

Kaiyuan Liu, Yunheng Li, Shenglan Liu, Chenwei Tan, Zihang Shao

Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline

Wei Ji, Jingjing Li, Cheng Bian, Zongwei Zhou, Jiaying Zhao

Efficient Movie Scene Detection Using State-Space Transformers

Md Mohaiminul Islam, Mahmudul Hasan, Kishan Shamsundar Athrey, Tony Braskich, Gedas Bertasius

Cascade Evidential Learning for Open-World Weakly-Supervised Temporal Action Localization

Mengyuan Chen, Junyu Gao, Changsheng Xu

Music-Driven Group Choreography

Nhat Le, Thang Pham, Tuong Do, Erman Tjiputra, Quang D. Tran

Toward RAW Object Detection: A New Benchmark and a New Model

Ruikang Xu, Chang Chen, Jingyang Peng, Cheng Li, Yibin Huang

Prototype-Based Embedding Network for Scene Graph Generation

Chaofan Zheng, Xinyu Lyu, Lianli Gao, Bo Dai, Jingkuan Song

SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer

Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao

Training Debiased Subnetworks With Contrastive Weight Pruning

Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye

Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring

Jinshan Pan, Boming Xu, Jiangxin Dong, Jianjun Ge, Jinhui Tang

Vision Transformers Are Parameter-Efficient Audio-Visual Learners

Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius

AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation

Zhen Li, Zuo-Liang Zhu, Ling-Hao Han, Qibin Hou, Chun-Le Guo

Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors

Chao Chen, Yu-Shen Liu, Zhizhong Han

Affordances From Human Videos as a Versatile Representation for Robotics

Shikhar Bahl, Russell Mendonca, Lili Chen, Unnat Jain, Deepak Pathak

LightPainter: Interactive Portrait Relighting With Freehand Scribble

Yiqun Mei, He Zhang, Xuaner Zhang, Jianming Zhang, Zhixin Shu

Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images

Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljosa Osep, Deva Ramanan

PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers

Ryan Grainger, Thomas Paniagua, Xi Song, Naresh Cuntoor, Mun Wai Lee

MagicPony: Learning Articulated 3D Animals in the Wild

Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi

Contrastive Grouping With Transformer for Referring Image Segmentation

Jiajin Tang, Ge Zheng, Cheng Shi, Sibei Yang

STDLens: Model Hijacking-Resilient Federated Learning for Object Detection

Ka-Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu

You Are Catching My Attention: Are Vision Transformers Bad Learners Under Backdoor Attacks?

Zenghui Yuan, Pan Zhou, Kai Zou, Yu Cheng

Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers

Sifan Long, Zhen Zhao, Jimin Pi, Shengsheng Wang, Jingdong Wang

Pointersect: Neural Rendering With Cloud-Ray Intersection

Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel

Imagic: Text-Based Real Image Editing With Diffusion Models

Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang

Teaching Matters: Investigating the Role of Supervision in Vision Transformers

Matthew Walmer, Saksham Suri, Kamal Gupta, Abhinav Shrivastava

Knowledge Combination To Learn Rotated Detection Without Rotated Annotation

Tianyu Zhu, Bryce Ferenczi, Pulak Purkait, Tom Drummond, Hamid Rezatofighi

Masked and Adaptive Transformer for Exemplar Based Image Translation

Chang Jiang, Fei Gao, Biao Ma, Yuhao Lin, Nannan Wang

High-Fidelity Generalized Emotional Talking Face Generation With Multi-Modal Emotion Space Learning

Chao Xu, Junwei Zhu, Jiangning Zhang, Yue Han, Wenqing Chu

Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery

Zizheng Yang, Jie Huang, Jiahao Chang, man zhou, Hu Yu

STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition

Xiaoyu Zhu, Po-Yao Huang, Junwei Liang, Celso M. de Melo, Alexander G. Hauptmann

Neural Voting Field for Camera-Space 3D Hand Pose Estimation

Lin Huang, Chung-Ching Lin, Kevin Lin, Lin Liang, Lijuan Wang

PMatch: Paired Masked Image Modeling for Dense Geometric Matching

Shengjie Zhu, Xiaoming Liu

OrienterNet: Visual Localization in 2D Public Maps With Neural Matching

Paul-Edouard Sarlin, Daniel DeTone, Tsun-Yi Yang, Armen Avetisyan, Julian Straub

Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container

Jinguang Tong, Sundaram Muthu, Fahira Afzal Maken, Chuong Nguyen, Hongdong Li

PointAvatar: Deformable Point-Based Head Avatars From Videos

Yufeng Zheng, Wang Yifan, Gordon Wetzstein, Michael J. Black, Otmar Hilliges

Seeing Beyond the Brain: Conditional Diffusion Model With Sparse Masked Modeling for Vision Decoding

Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou

Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation

Liulei Li, Wenguan Wang, Tianfei Zhou, Jianwu Li, Yi Yang

Benchmarking Robustness of 3D Object Detection to Common Corruptions

Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang

Hierarchical B-Frame Video Coding Using Two-Layer CANF Without Motion Coding

David Alexandre, Hsueh-Ming Hang, Wen-Hsiao Peng

Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning

Zesen Wu, Mang Ye

Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator

Jiali Cui, Ying Nian Wu, Tian Han

3D-Aware Multi-Class Image-to-Image Translation With NeRFs

Senmao Li, Joost van de Weijer, yaxing wang, Fahad Shahbaz Khan, Meiqin Liu

EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets

Peng Liao, Yaochu Jin, Wenli Du

Compacting Binary Neural Networks by Sparse Kernel Selection

Yikai Wang, Wenbing Huang, Yinpeng Dong, Fuchun Sun, Anbang Yao

Deep Graph Reprogramming

Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang

Transformer Scale Gate for Semantic Segmentation

Hengcan Shi, Munawar Hayat, Jianfei Cai

Object Pose Estimation With Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation

Heng Yang, Marco Pavone

Heterogeneous Continual Learning

Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov

HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining

SHIXIANG TANG, Cheng Chen, Qingsong Xie, Meilin Chen, Yizhou Wang

3Mformer: Multi-Order Multi-Mode Transformer for Skeletal Action Recognition

Lei Wang, Piotr Koniusz

Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens

Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li

A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation

Congqi Cao, Yue Lu, Peng Wang, Yanning Zhang

Deep Incomplete Multi-View Clustering With Cross-View Partial Sample and Prototype Alignment

Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu

CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation

Wenbin He, Suphanut Jamonnak, Liang Gou, Liu Ren

On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation

Liangzu Peng, Christian Kümmerle, René Vidal