ICCV 2023

2,156 papers

Snow Removal in Video: A New Dataset and A Novel Method

Haoyu Chen, Jingjing Ren, Jinjin Gu, Hongtao Wu, Xuequan Lu

GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video

Bruce X.B. Yu, Zhi Zhang, Yongxu Liu, Sheng-hua Zhong, Yan Liu

LeaF: Learning Frames for 4D Point Cloud Sequence Understanding

Yunze Liu, Junyu Chen, Zekai Zhang, Jingwei Huang, Li Yi

3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping

Zhuoqian Yang, Shikai Li, Wayne Wu, Bo Dai

Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos

Yikai Wang, Yinpeng Dong, Fuchun Sun, Xiao Yang

Query Refinement Transformer for 3D Instance Segmentation

Jiahao Lu, Jiacheng Deng, Chuxin Wang, Jianfeng He, Tianzhu Zhang

ProPainter: Improving Propagation and Transformer for Video Inpainting

Shangchen Zhou, Chongyi Li, Kelvin C.K. Chan, Chen Change Loy

Towards Models that Can See and Read

Roy Ganz, Oren Nuriel, Aviad Aberdam, Yair Kittenplon, Shai Mazor

SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis

Guangcong Wang, Zhaoxi Chen, Chen Change Loy, Ziwei Liu

CiT: Curation in Training for Effective Vision-Language Data

Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes

SEFD: Learning to Distill Complex Pose and Occlusion

ChangHee Yang, Kyeongbo Kong, SungJun Min, Dongyoon Wee, Ho-Deok Jang

VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs

Moayed Haji Ali, Andrew Bond, Tolga Birdal, Duygu Ceylan, Levent Karacan

CORE: Cooperative Reconstruction for Multi-Agent Perception

Binglu Wang, Lei Zhang, Zhaozhong Wang, Yongqiang Zhao, Tianfei Zhou

SIGMA: Scale-Invariant Global Sparse Shape Matching

Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Moeller

TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering

Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf

PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment

Jianyuan Wang, Christian Rupprecht, David Novotny

ModelGiF: Gradient Fields for Model Functional Distance

Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song

Pluralistic Aging Diffusion Autoencoder

Peipei Li, Rui Wang, Huaibo Huang, Ran He, Zhaofeng He

PEANUT: Predicting and Navigating to Unseen Targets

Albert J. Zhai, Shenlong Wang

Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification

Xihe Qiu, Shaojie Shi, Xiaoyu Tan, Chao Qu, Zhijun Fang

Action Sensitivity Learning for Temporal Action Localization

Jiayi Shao, Xiaohan Wang, Ruijie Quan, Junjun Zheng, Jiang Yang

Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution

Guandu Liu, Yukang Ding, Mading Li, Ming Sun, Xing Wen

Distribution Shift Matters for Knowledge Distillation with Webly Collected Images

Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong

FLIP: Cross-domain Face Anti-spoofing with Language Guidance

Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar

Aggregating Feature Point Cloud for Depth Completion

Zhu Yu, Zehua Sheng, Zili Zhou, Lun Luo, Si-Yuan Cao

CTP:Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation

Hongguang Zhu, Yunchao Wei, Xiaodan Liang, Chunjie Zhang, Yao Zhao

Hyperbolic Audio-visual Zero-shot Learning

Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi

Robust Evaluation of Diffusion-Based Adversarial Purification

Minjong Lee, Dongwoo Kim

A step towards understanding why classification helps regression

Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C. van Gemert

R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement

Sehwan Choi, Jungho Kim, Junyong Yun, Jun Won Choi

DynamicISP: Dynamically Controlled Image Signal Processor for Image Recognition

Masakazu Yoshimura, Junji Otsuka, Atsushi Irie, Takeshi Ohashi

StegaNeRF: Embedding Invisible Information within Neural Radiance Fields

Chenxin Li, Brandon Y. Feng, Zhiwen Fan, Panwang Pan, Zhangyang Wang

Exploring Temporal Concurrency for Video-Language Representation Learning

Heng Zhang, Daqing Liu, Zezhong Lv, Bing Su, Dacheng Tao

DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering

Wei Cheng, Ruixiang Chen, Siming Fan, Wanqi Yin, Keyu Chen

MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation

Chongjian GE, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong

LRRU: Long-short Range Recurrent Updating Networks for Depth Completion

Yufei Wang, Bo Li, Ge Zhang, Qi Liu, Tao Gao

REAP: A Large-Scale Realistic Adversarial Patch Benchmark

Nabeel Hingun, Chawin Sitawarin, Jerry Li, David Wagner

Rethinking Mobile Block for Efficient Attention-based Models

Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue

LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction

Mohammad Samiul Arshad, William J. Beksi

Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition

Jungho Lee, Minhyeok Lee, Dogyoon Lee, Sangyoun Lee

Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention

Yunlong Liu, Tao Huang, Weisheng Dong, Fangfang Wu, Xin Li

GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement Learning

Desai Xie, Ping Hu, Xin Sun, Sören Pirk, Jianming Zhang

3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces

Xuepeng Shi, Georgi Dikov, Gerhard Reitmayr, Tae-kyun Kim, Mohsen Ghafoorian

Zero-1-to-3: Zero-shot One Image to 3D Object

Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov

Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation

Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen

Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans

Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu

Self-Ordering Point Clouds

Pengwan Yang, Cees G. M. Snoek, Yuki M. Asano

Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation

Haobo Jiang, Zheng Dang, Shuo Gu, Jin Xie, Mathieu Salzmann

Black Box Few-Shot Adaptation for Vision-Language Models

Yassine Ouali, Adrian Bulat, Brais Matinez, Georgios Tzimiropoulos

MotionLM: Multi-Agent Motion Forecasting as Language Modeling

Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou

AutoReP: Automatic ReLU Replacement for Fast Private Network Inference

Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang

Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation

Gilles Puy, Alexandre Boulch, Renaud Marlet

Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models

Dohwan Ko, Ji Soo Lee, Miso Choi, Jaewon Chu, Jihwan Park

Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning

Shuo He, Guowu Yang, Lei Feng

DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration

Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao

Generating Realistic Images from In-the-wild Sounds

Taegyeong Lee, Jeonghun Kang, Hyeonyu Kim, Taehwan Kim

Size Does Matter: Size-aware Virtual Try-on via Clothing-oriented Transformation Try-on Network

Chieh-Yun Chen, Yi-Chung Chen, Hong-Han Shuai, Wen-Huang Cheng

EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation

Ilwi Yun, Chanyong Shin, Hyunku Lee, Hyuk-Jae Lee, Chae Eun Rhee

COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos

Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo

AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks

Kibeom Hong, Seogkyu Jeon, Junsoo Lee, Namhyuk Ahn, Kunhee Kim

DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion Models

Karl Holmquist, Bastian Wandt

When to Learn What: Model-Adaptive Data Augmentation Curriculum

Chengkai Hou, Jieyu Zhang, Tianyi Zhou

Persistent-Transient Duality: A Multi-Mechanism Approach for Modeling Human-Object Interaction

Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran

Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks

Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin

Improving Pixel-based MIM by Reducing Wasted Modeling Capability

Yuan Liu, Songyang Zhang, Jiacheng Chen, Zhaohui Yu, Kai Chen

Adaptive and Background-Aware Vision Transformer for Real-Time UAV Tracking

Shuiwang Li, Yangxiang Yang, Dan Zeng, Xucheng Wang

Skill Transformer: A Monolithic Policy for Mobile Manipulation

Xiaoyu Huang, Dhruv Batra, Akshara Rai, Andrew Szot

Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models

Kecheng Zheng, Wei Wu, Ruili Feng, Kai Zhu, Jiawei Liu

Convolutional Networks with Oriented 1D Kernels

Alexandre Kirchmeyer, Jia Deng

SurfsUP: Learning Fluid Simulation for Novel Surfaces

Arjun Mani, Ishaan Preetam Chandratreya, Elliot Creager, Carl Vondrick, Richard Zemel

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability

Zijian Wang, Yadan Luo, Liang Zheng, Zi Huang, Mahsa Baktashmotlagh

SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference

Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang

Can Language Models Learn to Listen?

Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell

Designing Phase Masks for Under-Display Cameras

Anqi Yang, Eunhee Kang, Hyong-Euk Lee, Aswin C. Sankaranarayanan

DPS-Net: Deep Polarimetric Stereo Depth Estimation

Chaoran Tian, Weihong Pan, Zimo Wang, Mao Mao, Guofeng Zhang

Uncertainty-aware Unsupervised Multi-Object Tracking

Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang

TiDAL: Learning Training Dynamics for Active Learning

Seong Min Kye, Kwanghee Choi, Hyeongmin Byun, Buru Chang

SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving

Shuai Yuan, Shuzhi Yu, Hannah Kim, Carlo Tomasi

Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations

Nikolaos-Antonios Ypsilantis, Kaifeng Chen, Bingyi Cao, Mário Lipovský, Pelin Dogan-Schönberger

Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection

Yiming Xie, Huaizu Jiang, Georgia Gkioxari, Julian Straub

Localizing Moments in Long Video Via Multimodal Guidance

Wayner Barrios, Mattia Soldan, Alberto Mario Ceballos-Arroyo, Fabian Caba Heilbron, Bernard Ghanem

SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes

Yutao Cui, Chenkai Zeng, Xiaoyu Zhao, Yichun Yang, Gangshan Wu

AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration

Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao

Fingerprinting Deep Image Restoration Models

Yuhui Quan, Huan Teng, Ruotao Xu, Jun Huang, Hui Ji

Non-Coaxial Event-Guided Motion Deblurring with Spatial Alignment

Hoonhee Cho, Yuhwan Jeong, Taewoo Kim, Kuk-Jin Yoon

Implicit Temporal Modeling with Learnable Alignment for Video Recognition

Shuyuan Tu, Qi Dai, Zuxuan Wu, Zhi-Qi Cheng, Han Hu

SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model

Gengwei Zhang, Liyuan Wang, Guoliang Kang, Ling Chen, Yunchao Wei

Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection

Jiaming Li, Xiangru Lin, Wei Zhang, Xiao Tan, Yingying Li

GePSAn: Generative Procedure Step Anticipation in Cooking Videos

Mohamed A. Abdelsalam, Samrudhdhi B. Rangrej, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis

Interaction-aware Joint Attention Estimation Using People Attributes

Chihiro Nakatani, Hiroaki Kawashima, Norimichi Ukita

Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning

Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo

Instance and Category Supervision are Alternate Learners for Continual Learning

Xudong Tian, Zhizhong Zhang, Xin Tan, Jun Liu, Chengjie Wang

Towards Saner Deep Image Registration

Bin Duan, Ming Zhong, Yan Yan

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Lingdong Kong, Youquan Liu, Xin Li, Runnan Chen, Wenwei Zhang

Exploring Predicate Visual Context in Detecting of Human-Object Interactions

Frederic Z Zhang, YUHUI YUAN, Dylan Campbell, Zhuoyao Zhong, Stephen Gould

Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis

Yuwei Yang, Munawar Hayat, Zhao Jin, Hongyuan Zhu, Yinjie Lei

Verbs in Action: Improving Verb Understanding in Video-Language Models

Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid

PGFed: Personalize Each Client's Global Objective for Federated Learning

Jun Luo, Matias Mendieta, Chen Chen, Shandong Wu

A Multidimensional Analysis of Social Biases in Vision Transformers

Jannik Brinkmann, Paul Swoboda, Christian Bartelt

Online Clustered Codebook

Chuanxia Zheng, Andrea Vedaldi