ICCV 2023

2,156 papers

Segment Every Reference Object in Spatial and Temporal Spaces

Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan

Event Camera Data Pre-training

yan yang, Liyuan Pan, Liu Liu

Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning

Hanjae Kim, Jiyoung Lee, Seongheon Park, Kwanghoon Sohn

Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation

Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis

ASIC: Aligning Sparse in-the-wild Image Collections

Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia

CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network

Ruyi Lian, Haibin Ling

Multiple Planar Object Tracking

Zhicheng Zhang, Shengzhe Liu, Jufeng Yang

Multiscale Structure Guided Diffusion for Image Deblurring

Mengwei Ren, Mauricio Delbracio, Hossein Talebi, Guido Gerig, Peyman Milanfar

Score-Based Diffusion Models as Principled Priors for Inverse Imaging

Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman

Masked Autoencoders Are Stronger Knowledge Distillers

Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang

COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability

Jongmin Park, Jooyoung Lee, Munchurl Kim

SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation

Juil Koo, Seungwoo Yoo, Minh Hieu Nguyen, Minhyuk Sung

ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs

Jiteng Mu, Shen Sang, Nuno Vasconcelos, Xiaolong Wang

Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion

Weng Fei Low, Gim Hee Lee

Online Prototype Learning for Online Continual Learning

Yujie Wei, Jiaxin Ye, Zhizhong Huang, Junping Zhang, Hongming Shan

Deep Directly-Trained Spiking Neural Networks for Object Detection

Qiaoyi Su, Yuhong Chou, Yifan Hu, Jianing Li, Shijie Mei

UATVR: Uncertainty-Adaptive Text-Video Retrieval

Bo Fang, Wenhao Wu, Chang Liu, Yu Zhou, Yuxin Song

Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation

Rui Sun, Yuan Wang, Huayu Mai, Tianzhu Zhang, Feng Wu

A Simple Framework for Open-Vocabulary Segmentation and Detection

Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li

Luminance-aware Color Transform for Multiple Exposure Correction

Jong-Hyeon Baek, Daehyun Kim, Su-Min Choi, Hyo-Jun Lee, Hanul Kim

Confidence-aware Pseudo-label Learning for Weakly Supervised Visual Grounding

Yang Liu, Jiahua Zhang, Qingchao Chen, Yuxin Peng

InterFormer: Real-time Interactive Image Segmentation

You Huang, Hao Yang, Ke Sun, ShengChuan Zhang, Liujuan Cao

Locally Stylized Neural Radiance Fields

Hong-Wing Pang, Binh-Son Hua, Sai-Kit Yeung

Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy

Ba Hung Ngo, Yeon Jeong Chae, Jung Eun Kwon, Jae Hyeon Park, Sung In Cho

UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction

Zhenwei Zhu, Liying Yang, Ning Li, Chaohao Jiang, Yanyan Liang

Iterative Prompt Learning for Unsupervised Backlit Image Enhancement

Zhexin Liang, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Chen Change Loy

Domain Specified Optimization for Deployment Authorization

Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng

Category-aware Allocation Transformer for Weakly Supervised Object Localization

Zhiwei Chen, Jinren Ding, Liujuan Cao, Yunhang Shen, ShengChuan Zhang

Hiding Visual Information via Obfuscating Adversarial Perturbations

Zhigang Su, Dawei Zhou, Nannan Wang, Decheng Liu, Zhen Wang

ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation

Liang Xu, Ziyang Song, Dongliang Wang, Jing Su, Zhicheng Fang

Generative Prompt Model for Weakly Supervised Object Localization

Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen, Fang Wan

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs

Peng Tu, Xu Xie, Guo Ai, Yuexiang Li, Yawen Huang

Heterogeneous Forgetting Compensation for Class-Incremental Learning

Jiahua Dong, Wenqi Liang, Yang Cong, Gan Sun

Exploring Positional Characteristics of Dual-Pixel Data for Camera Autofocus

Myungsub Choi, Hana Lee, Hyong-Euk Lee

Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation

Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Shenghai Yuan

LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion Inference

Cong Wang, Yu-Ping Wang, Dinesh Manocha

zPROBE: Zero Peek Robustness Checks for Federated Learning

Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers

Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang

MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation

Najmeh Sadoughi, Xinyu Li, Avijit Vajpayee, David Fan, Bing Shuai

What does CLIP know about a red circle? Visual prompt engineering for VLMs

Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi

Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding

Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng

Vadim Sushko, Ruyu Wang, Juergen Gall

Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models

Hee-Seon Kim, Minji Son, Minbeom Kim, Myung-Joon Kwon, Changick Kim

VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams

Nissim Maruani, Roman Klokov, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun

Towards Fairness-aware Adversarial Network Pruning

Lei Zhang, Zhibo Wang, Xiaowei Dong, Yunhe Feng, Xiaoyi Pang

A Low-Shot Object Counting Network With Iterative Prototype Adaptation

Nikola Đukić, Alan Lukežič, Vitjan Zavrtanik, Matej Kristan

Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos

Yulin Pan, Xiangteng He, Biao Gong, Yiliang Lv, Yujun Shen

Sentence Attention Blocks for Answer Grounding

Seyedalireza Khoshsirat, Chandra Kambhamettu

Video Action Recognition with Attentive Semantic Units

Yifei Chen, Dapeng Chen, Ruijin Liu, Hao Li, Wei Peng

Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval

Chaorui Deng, Qi Chen, Pengda Qin, Da Chen, Qi Wu

SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations

Sharath Girish, Abhinav Shrivastava, Kamal Gupta

Will Large-scale Generative Models Corrupt Future Datasets?

Ryuichiro Hataya, Han Bao, Hiromi Arai

HumanMAC: Masked Motion Completion for Human Motion Prediction

Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia

Dense Text-to-Image Generation with Attention Modulation

Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu

Enhanced Meta Label Correction for Coping with Label Corruption

Mitchell Keren Taraday, Chaim Baskin

Focus on Your Target: A Dual Teacher-Student Framework for Domain-Adaptive Semantic Segmentation

Xinyue Huo, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian

MixSynthFormer: A Transformer Encoder-like Structure with Mixed Synthetic Self-attention for Efficient Human Pose Estimation

Yuran Sun, Alan William Dougherty, Zhuoying Zhang, Yi King Choi, Chuan Wu

DREAM: Efficient Dataset Distillation by Representative Matching

Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Wei Jiang

Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction

Su-Kai Chen, Hung-Lin Yen, Yu-Lun Liu, Min-Hung Chen, Hou-Ning Hu

AlignDet: Aligning Pre-training and Fine-tuning in Object Detection

Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin

Generalized Sum Pooling for Metric Learning

Yeti Z. Gürbüz, Ozan Sener, A. Aydin Alatan

VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation

Yanyuan Qiao, zheng Yu, Qi Wu

GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization

Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia

Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection

Manyuan Zhang, Guanglu Song, Yu Liu, hongsheng Li

Learning Support and Trivial Prototypes for Interpretable Image Classification

Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian

Dynamic Mesh-Aware Radiance Fields

Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang

Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation

Wencan Cheng, Jong Hwan Ko

Omnidirectional Information Gathering for Knowledge Transfer-Based Audio-Visual Navigation

Jinyu Chen, Wenguan Wang, Si Liu, hongsheng Li, Yi Yang

Generalized Lightness Adaptation with Channel Selective Normalization

Mingde Yao, Jie Huang, Xin Jin, Ruikang Xu, Shenglong Zhou

Subclass-balancing Contrastive Learning for Long-tailed Recognition

Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou

SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning

Hao Feng, Wendi Wang, Jiajun Deng, Wengang Zhou, Li Li

SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection

Samuel Wilson, Tobias Fischer, Feras Dayoub, Dimity Miller, Niko Sunderhauf

Parameterized Cost Volume for Stereo Matching

Jiaxi Zeng, Chengtang Yao, Lidong Yu, Yuwei Wu, Yunde Jia

Poincare ResNet

Max van Spengler, Erwin Berkhout, Pascal Mettes

Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency

Jungbeom Lee, Sungjin Lee, Jinseok Nam, Seunghak Yu, Jaeyoung Do

Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples

Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen

Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization

Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi

MAAL: Multimodality-Aware Autoencoder-Based Affordance Learning for 3D Articulated Objects

Yuanzhi Liang, Xiaohan Wang, Linchao Zhu, Yi Yang

Zenseact Open Dataset: A Large-Scale and Diverse Multimodal Dataset for Autonomous Driving

Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja

Extensible and Efficient Proxy for Neural Architecture Search

Yuhong Li, Jiajie Li, Cong Hao, Pan Li, Jinjun Xiong

Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation

Yukuan Min, Aming Wu, Cheng Deng

Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object Detection

Yilong Lv, Min Li, Yujie He, Shaopeng Li, Zhuzhen He

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Stan Weixian Lei, Yuchao Gu

Scratching Visual Transformer's Back with Uniform Attention

Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh

LATR: 3D Lane Detection from Monocular Images with Transformer

Yueru Luo, Chaoda Zheng, Xu Yan, Tang Kun, Chao Zheng

TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization

Yiran Liu, Xin Feng, Yunlong Wang, Wu Yang, Di Ming

Navigating to Objects Specified by Images

Jacob Krantz, Theophile Gervet, Karmesh Yadav, Austin Wang, Chris Paxton

FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction

Noah Stier, Anurag Ranjan, Alex Colburn, Yajie Yan, Liang Yang

End-to-End Diffusion Latent Optimization Improves Classifier Guidance

Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik

MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering

Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren

XMem++: Production-level Video Segmentation From Few Annotated Frames

Maksym Bekuzarov, Ariana Bermudez, Joon-Young Lee, Hao Li

Inverse Compositional Learning for Weakly-supervised Relation Grounding

Huan Li, Ping Wei, Zeyu Ma, Nanning Zheng

ResQ: Residual Quantization for Video Perception

Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian

Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic Compression

Yuan Tian, Guo Lu, Guangtao Zhai, Zhiyong Gao

Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging

Siming Zheng, Xin Yuan

Generalized Differentiable RANSAC

Tong Wei, Yash Patel, Alexander Shekhovtsov, Jiri Matas, Daniel Barath

Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars

Distracting Downpour: Adversarial Weather Attacks for Motion Estimation

Jenny Schmalfuss, Lukas Mehl, Andrés Bruhn

Surface Normal Clustering for Implicit Representation of Manhattan Scenes

Nikola Popovic, Danda Pani Paudel, Luc Van Gool

Efficient Video Prediction via Sparsely Conditioned Flow Matching

Aram Davtyan, Sepehr Sameni, Paolo Favaro