CVPR 2023

2,353 papers

Deep Polarization Reconstruction With PDAVIS Events

Haiyang Mei, Zuowen Wang, Xin Yang, Xiaopeng Wei, Tobi Delbruck

Distribution Shift Inversion for Out-of-Distribution Prediction

Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang

RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models

Jiabao Lei, Jiapeng Tang, Kui Jia

Explaining Image Classifiers With Multiscale Directional Image Representation

Stefan Kolek, Robert Windesheim, Hector Andrade-Loarca, Gitta Kutyniok, Ron Levie

Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses

Junbong Jang, Kwonmoo Lee, Tae-kyun Kim

PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation

Liwen Zhang, Xinyan Zhang, Youcheng Zhang, Yufei Guo, Yuanpei Chen

LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes

Meng Wang, Yu-Shen Liu, Yue Gao, Kanle Shi, Yi Fang

GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency

Lin Tian, Hastings Greer, Francois-Xavier Vialard, Roland Kwitt, Raul San Jose Estepar

Super-Resolution Neural Operator

Min Wei, Xuesong Zhang

Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence

Rui Li, Dong Liu

Regularizing Second-Order Influences for Continual Learning

Zhicheng Sun, Yadong Mu, Gang Hua

Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning

Chengzhi Cao, Xueyang Fu, Hongjian Liu, Yukun Huang, Kunyu Wang

ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations

Panos Achlioptas, Ian Huang, Minhyuk Sung, Sergey Tulyakov, Leonidas Guibas

CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects

Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus

Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer

Jingpei Lu, Florian Richter, Michael C. Yip

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi

High-Frequency Stereo Matching Network

Haoliang Zhao, Huizhou Zhou, Yongjun Zhang, Jie Chen, Yitong Yang

Neural Video Compression With Diverse Contexts

Jiahao Li, Bin Li, Yan Lu

Polynomial Implicit Neural Representations for Large Diverse Datasets

Rajhans Singh, Ankita Shukla, Pavan Turaga

PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations

Haoran Geng, Ziming Li, Yiran Geng, Jiayi Chen, Hao Dong

Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption

Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer

Understanding and Improving Features Learned in Deep Functional Maps

Souhaib Attaiki, Maks Ovsjanikov

Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination

Zimeng Zhao, Binghui Zuo, Zhiyu Long, Yangang Wang

From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm

Jie Chen, Zilong Li, Yin Zhu, Junping Zhang, Jian Pu

Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping

Long Lian, Zhirong Wu, Stella X. Yu

Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning

Wenjin Wang, Yunqing Hu, Qianglong Chen, Yin Zhang

Learning To Zoom and Unzoom

Chittesh Thavamani, Mengtian Li, Francesco Ferroni, Deva Ramanan

Progressive Neighbor Consistency Mining for Correspondence Pruning

Xin Liu, Jufeng Yang

Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space

Tianxin Huang, Zhonggan Ding, Jiangning Zhang, Ying Tai, Zhenyu Zhang

Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model

Rolandos Alexandros Potamias, Stylianos Ploumpis, Stylianos Moschoglou, Vasileios Triantafyllou, Stefanos Zafeiriou

Randomized Adversarial Training via Taylor Expansion

Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang

Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy

Riqiang Gao, Bin Lou, Zhoubing Xu, Dorin Comaniciu, Ali Kamen

KiUT: Knowledge-Injected U-Transformer for Radiology Report Generation

Zhongzhen Huang, Xiaofan Zhang, Shaoting Zhang

GeoVLN: Learning Geometry-Enhanced Visual Representation With Slot Attention for Vision-and-Language Navigation

Jingyang Huo, Qiang Sun, Boyan Jiang, Haitao Lin, Yanwei Fu

Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer

Shubh Maheshwari, Rahul Narain, Ramya Hebbalaguppe

Masked Image Modeling With Local Multi-Scale Reconstruction

Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng

NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation

Jiefeng Li, Siyuan Bian, Qi Liu, Jiasheng Tang, Fan Wang

NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds

Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang

PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration

Junle Yu, Luwei Ren, Yu Zhang, Wenhui Zhou, Lili Lin

Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective

Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang

Neural Map Prior for Autonomous Driving

Xuan Xiong, Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang

EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points

Chengwei Zheng, Wenbin Lin, Feng Xu

Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation With Cross-Scale Distortion Awareness

Zhijie Shen, Zishuo Zheng, Chunyu Lin, Lang Nie, Kang Liao

Enhancing the Self-Universality for Transferable Targeted Attacks

Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang

Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers

Siyuan Wei, Tianzhu Ye, Shen Zhang, Yao Tang, Jiajun Liang

DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets

Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang

Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving

Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He

Movies2Scenes: Using Movie Metadata To Learn Scene Representation

Shixing Chen, Chun-Hao Liu, Xiang Hao, Xiaohan Nie, Maxim Arap

OpenScene: 3D Scene Understanding With Open Vocabularies

Songyou Peng, Kyle Genova, Chiyu “Max” Jiang, Andrea Tagliasacchi, Marc Pollefeys

Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding

Praneeth Chakravarthula, Jim Aldon D’Souza, Ethan Tseng, Joe Bartusek, Felix Heide

Learning To Segment Every Referring Object Point by Point

Mengxue Qu, Yu Wu, Yunchao Wei, Wu Liu, Xiaodan Liang

Test of Time: Instilling Video-Language Models With a Sense of Time

Piyush Bagad, Makarand Tapaswi, Cees G. M. Snoek

DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling

Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli

SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds

Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang

Ground-Truth Free Meta-Learning for Deep Compressive Sampling

Xinran Qin, Yuhui Quan, Tongyao Pang, Hui Ji

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving

Shaoheng Fang, Zi Wang, Yiqi Zhong, Junhao Ge, Siheng Chen

PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training

Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia

Open-Vocabulary Attribute Detection

María A. Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox

Overcoming the Trade-Off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction

Ziwei Yu, Chen Li, Linlin Yang, Xiaoxu Zheng, Michael Bi Mi

Learning Generative Structure Prior for Blind Text Image Super-Resolution

Xiaoming Li, Wangmeng Zuo, Chen Change Loy

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-or

Neural Vector Fields: Implicit Representation by Explicit Learning

Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou

Adaptive Data-Free Quantization

Biao Qian, Yang Wang, Richang Hong, Meng Wang

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation

Titas Anciukevicius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen

Few-Shot Geometry-Aware Keypoint Localization

Xingzhe He, Gaurav Bharaj, David Ferman, Helge Rhodin, Pablo Garrido

Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks

Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu

Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching

Puhua Jiang, Mingze Sun, Ruqi Huang

FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks

Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song

Dimensionality-Varying Diffusion Process

Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu

Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration

Divya Saxena, Jiannong Cao, Jiahao Xu, Tarun Kulshrestha

Neuralangelo: High-Fidelity Neural Surface Reconstruction

Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath

MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery

Duowen Chen, Yunhao Bai, Wei Shen, Qingli Li, Lequan Yu

Self-Supervised AutoFlow

Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent

SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene

Minjung Son, Jeong Joon Park, Leonidas Guibas, Gordon Wetzstein

Align and Attend: Multimodal Summarization With Dual Contrastive Losses

Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava

Mask DINO: Towards a Unified Transformer-Based Framework for Object Detection and Segmentation

Feng Li, Hao Zhang, Huaizhe Xu, Shilong Liu, Lei Zhang

GarmentTracking: Category-Level Garment Pose Tracking

Han Xue, Wenqiang Xu, Jieyi Zhang, Tutian Tang, Yutong Li

Human Guided Ground-Truth Generation for Realistic Image Super-Resolution

Du Chen, Jie Liang, Xindong Zhang, Ming Liu, Hui Zeng

Critical Learning Periods for Multisensory Integration in Deep Networks

Michael Kleinman, Alessandro Achille, Stefano Soatto

DyLiN: Making Light Field Networks Dynamic

Heng Yu, Joel Julin, Zoltán Á. Milacski, Koichiro Niinuma, László A. Jeni

Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection

Muhammad Akhtar Munir, Muhammad Haris Khan, Salman Khan, Fahad Shahbaz Khan

Where We Are and What We're Looking At: Query Based Worldwide Image Geo-Localization Using Hierarchies and Scenes

Brandon Clark, Alec Kerrigan, Parth Parag Kulkarni, Vicente Vivanco Cepeda, Mubarak Shah

DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback

Xiaoning Sun, Huaijiang Sun, Bin Li, Dong Wei, Weiqing Li

TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition

Hao Yu, Xu Cheng, Wei Peng

Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving

Ruibo Li, Hanyu Shi, Ziang Fu, Zhe Wang, Guosheng Lin

Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation

Feiyu Chen, Jie Shao, Shuyuan Zhu, Heng Tao Shen

OpenMix: Exploring Outlier Samples for Misclassification Detection

Fei Zhu, Zhen Cheng, Xu-yao Zhang, Cheng-lin Liu

Imitation Learning As State Matching via Differentiable Physics

SIWEI CHEN, Xiao Ma, Zhongwen Xu

Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism

Tinglei Feng, Jiaxuan Liu, Jufeng Yang

Relightable Neural Human Assets From Multi-View Gradient Illuminations

Taotao Zhou, Kai He, Di Wu, Teng Xu, Qixuan Zhang

Dynamic Neural Network for Multi-Task Learning Searching Across Diverse Network Topologies

Wonhyeok Choi, Sunghoon Im

Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision

María Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov

Long-Term Visual Localization With Mobile Sensors

Shen Yan, Yu Liu, Long Wang, Zehong Shen, Zhen Peng

Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes

Jihyun Lee, Minhyuk Sung, Honggyu Choi, Tae-kyun Kim

Unifying Layout Generation With a Decoupled Diffusion Model

Mude Hui, Zhizheng Zhang, Xiaoyi Zhang, Wenxuan Xie, Yuwang Wang

SmallCap: Lightweight Image Captioning Prompted With Retrieval Augmentation

Rita Ramos, Bruno Martins, Desmond Elliott, Yova Kementchedjhieva

Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level

Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang

DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium

Antyanta Bangunharcana, Ahmed Magd, Kyung-Soo Kim

SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail

Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek

Decoupled Multimodal Distilling for Emotion Recognition

Yong Li, Yuanzhi Wang, Zhen Cui