CVPR

An HMM-based framework for identity-aware long-term multi-object tracking from sparse and uncertain identification: use case on long-term tracking in livestock

Anne Marthe Sophie Ngo Bibinbe, Chiron Bang, Patrick Gagnon, Jamie Ahloy-Dallaire, Eric R. Paquet

机构 * Centre de développement du porc du Québec（魁北克猪发展中心） 纠错

Comments 13 pages, 7 figures, 1 table, accepted at CVPR animal workshop 2024, submitted to IJCV

Attacking Attention of Foundation Models Disrupts Downstream Tasks

Hondamunige Prasanna Silva, Federico Becattini, Lorenzo Seidenari

机构 * University of Florence（佛罗伦萨大学） ； University of Siena（锡耶纳大学） 纠错

Comments Paper published at CVPR 2025 Workshop Advml

Sufficient Invariant Learning for Distribution Shift

Taero Kim, Subeen Park, Sungjun Lim, Yonghan Jung, Krikamol Muandet, Kyungwoo Song

机构 * Yonsei University（延世大学） ； Purdue University（普渡大学） ； CISPA Helmholtz Center for Information Security（亥姆霍兹信息安全中心） 纠错

Comments Accepted by CVPR 2025. Corresponding author: Kyungwoo Song

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation

Sirui Xu, Dongting Li, Yucheng Zhang, Xiyan Xu, Qi Long, Ziyin Wang, Yunzhi Lu, Shuchang Dong, Hezi Jiang, Akshat Gupta, Yu-Xiong Wang, Liang-Yan Gui

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

Comments CVPR 2025

Stable Flow: Vital Layers for Training-Free Image Editing

Omri Avrahami, Or Patashnik, Ohad Fried, Egor Nemchinov, Kfir Aberman, Dani Lischinski, Daniel Cohen-Or

机构 * Snap Research ； The Hebrew University of Jerusalem（耶路撒冷希伯来大学） ； Tel Aviv University（特拉维夫大学） ； Reichman University（里赫曼大学） 纠错

Comments CVPR 2025. Project page is available at https://omriavrahami.com/stable-flow

A Challenging Benchmark of Anime Style Recognition

Haotang Li, Shengtao Guo, Kailin Lyu, Xiao Yang, Tianchen Chen, Jianqing Zhu, Huanqiang Zeng

机构 * College of Engineering, Huaqiao University（华侨大学工程学院） 纠错

Comments accepted by CVPRW 2022

Journal ref 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 4720-4729

Geospatial Foundational Embedder: Top-1 Winning Solution on EarthVision Embed2Scale Challenge (CVPR 2025)

Zirui Xu, Raphael Tang, Mike Bianco, Qi Zhang, Rishi Madhok, Nikolaos Karianakis, Fuxun Yu

机构 * Microsoft Redmond, WA（微软红mond分校） 纠错

Comments CVPR 2025 EarthVision Embed2Scale challenge Top-1 Winning Solution

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model

Zilong Guo, Yi Luo, Long Sha, Dongxu Wang, Panqu Wang, Chenyang Xu, Yi Yang

机构 * ZERON Shanghai, China（上海零点科技有限公司） 纠错

Comments 2nd place in CVPR 2024 End-to-End Driving at Scale Challenge

LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular Videos

Daniel Etaat, Dvij Kalaria, Nima Rahmanian, Shankar Sastry

机构 * University of California, Berkeley（加州大学伯克利分校） 纠错

Comments CVPR 2025

MV-SSM: Multi-View State Space Modeling for 3D Human Pose Estimation

Aviral Chharia, Wenbo Gou, Haoye Dong

机构 * Carnegie Mellon University（卡内基梅隆大学） ； National University of Singapore（国立新加坡大学） 纠错

Comments CVPR 2025; Project Website: https://aviralchharia.github.io/MV-SSM

Journal ref CVPR, Nashville, TN, USA, 2025, pp. 11590-11599

CryptoFace: End-to-End Encrypted Face Recognition

Wei Ao, Vishnu Naresh Boddeti

机构 * Michigan State University（密歇根州立大学） 纠错

Comments CVPR 2025

Leadership Assessment in Pediatric Intensive Care Unit Team Training

Liangyang Ouyang, Yuki Sakai, Ryosuke Furuta, Hisataka Nozawa, Hikoro Matsui, Yoichi Sato

机构 * The University of Tokyo（东京大学） 纠错

Comments This paper is accepted by EgoVis Workshop at CVPR 2025

ControlEchoSynth: Boosting Ejection Fraction Estimation Models via Controlled Video Diffusion

Nima Kondori, Hanwen Liang, Hooman Vaseli, Bingyu Xie, Christina Luong, Purang Abolmaesumi, Teresa Tsang, Renjie Liao

机构 * The University of British Columbia（不列颠哥伦比亚大学） ； University of Toronto（多伦多大学） ； Vancouver General Hospital, Vancouver, BC, Canada（温哥华总医院） 纠错

Comments Data Curation and Augmentation in Medical Imaging CVPR 2024

R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning

Lijun Sheng, Jian Liang, Zilei Wang, Ran He

机构 * University of Science and Technology of China（中国科学技术大学） ； NLPR & MAIS, Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） ； University of Chinese Academy of Sciences（中国科学院大学） 纠错

Comments CVPR 2025 (Corrected the results on the Aircraft dataset)

Gaussian Splatting Feature Fields for Privacy-Preserving Visual Localization

Maxime Pietrantoni, Gabriela Csurka, Torsten Sattler

机构 * Faculty of Electrical Engineering, Czech Technical University in Prague（1 电气工程学院，捷克技术大学普拉赫堡分校） ； Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague（2 捷克信息学、机器人学与自动化研究所，捷克技术大学普拉赫堡分校） ； NAVER LABS Europe（3 NAVER LABS欧洲） 纠错

Comments CVPR 2025

Faster Parameter-Efficient Tuning with Token Redundancy Reduction

Kwonyoung Kim, Jungin Park, Jin Kim, Hyeongjun Kwon, Kwanghoon Sohn

机构 * Yonsei University（延世大学） ； Korea Institute of Science and Technology (KIST)（韩国科学技术院） 纠错

Comments CVPR 2025 Camera-ready

Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness

Beier Zhu, Jiequan Cui, Hanwang Zhang, Chi Zhang

机构 * Nanyang Technological University（南洋理工大学） ； Westlake University（西湖大学） 纠错

Comments Accepted by CVPR 2025

Where's the liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content

Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen

机构 * University of Wisconsin-Madison（威斯康星大学麦迪逊分校） ； University of California, Berkeley（加州大学伯克利分校） ； NEC Laboratories America（NEC美国实验室） 纠错

Comments CVPR 2025

T*: Re-thinking Temporal Search for Long-Form Video Understanding

Jinhui Ye, Zihan Wang, Haosen Sun, Keshigeyan Chandrasegaran, Zane Durante, Cristobal Eyzaguirre, Yonatan Bisk, Juan Carlos Niebles, Ehsan Adeli, Li Fei-Fei, Jiajun Wu, Manling Li

Comments Accepted by CVPR 2025; A real-world long video needle-in-haystack benchmark; long-video QA with human ref frames

Investigating Different Geo Priors for Image Classification

Angela Zhu, Christian Lange, Max Hamilton

机构 * University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校） ； The University of Edinburgh（爱丁堡大学） 纠错

Comments Accepted and presented poster at FGVC12 (CVPR 2025 Workshop), Nashville, June 11, 2025

MambaIC: State Space Models for High-Performance Learned Image Compression

Fanhu Zeng, Hao Tang, Yihua Shao, Siyu Chen, Ling Shao, Yan Wang

机构 * Institute for AI Industry Research (AIR), Tsinghua University（人工智能产业研究院（AIR），清华大学） ； School of Computer Science, Peking University（北京大学计算机学院） ； University of Science and Technology Beijing（北京科技大学） ； UCAS-Terminus AI Lab, University of Chinese Academy of Sciences（中国科学院大学Terminus AI实验室，中国科学院大学） 纠错

Comments Accepted to CVPR 2025

Towards Source-Free Machine Unlearning

Sk Miraj Ahmed, Umit Yigit Basaran, Dripta S. Raychaudhuri, Arindam Dutta, Rohit Kundu, Fahim Faisal Niloy, Basak Guler, Amit K. Roy-Chowdhury

机构 * Brookhaven National Laboratory（布鲁克海文国家实验室） ； University of California, Riverside（加州大学河滨分校） ； AWS AI（AWS人工智能） 纠错

Comments Accepted by CVPR 2025

SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization

Yi Du, Zhipeng Zhao, Shaoshu Su, Sharath Golluri, Haoze Zheng, Runmao Yao, Chen Wang

机构 * Spatial AI & Robotics (SAIR) Lab, University at Buffalo（空间人工智能与机器人实验室，布法罗大学） 纠错

Journal ref IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

CoMatcher: Multi-View Collaborative Feature Matching

Jintao Zhang, Zimin Xia, Mingyue Dong, Shuhan Shen, Linwei Yue, Xianwei Zheng

机构 * The State Key Lab. LIESMARS, Wuhan University（武汉大学国家重点实验室LIESMARS） ； École Polytechnique Fédérale de Lausanne (EPFL)（瑞士联邦理工学院（EPFL）） ； Chinese Academy of Sciences（中国科学院） ； China University of Geosciences（中国地质大学） 纠错

Comments 15 pages, 7 figures, to be published in CVPR 2025

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models

Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu

机构 * Michigan State University（密歇根州立大学） ； Sony AI（索尼人工智能） 纠错

Comments Accepted by CVPR 2025

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots

Anas Gouda, Shrutarv Awasthi, Christian Blesing, Lokeshwaran Manohar, Frank Hoffmann, Alice Kirchheim

机构 * TU Dortmund（图鲁特大学） ； Fraunhofer IML（弗劳恩霍夫智能系统研究所） ； LAMARR Institute for Machine Learning（机器学习研究所） 纠错

Comments accepted CVPR 2025 Workshop on Recovering 6D Object Pose (R6D)

Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency

Yanbiao Ma, Wei Dai, Bowei Liu, Jiayi Chen, Wenke Huang, Guancheng Wan, Zhiwu Lu, Junchi Yan

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学耿丽人工智能学院） ； Tsinghua University（清华大学） ； Xidian University（西安电子科技大学） ； Wuhan University（武汉大学） ； Shanghai Jiao Tong University（上海交通大学） 纠错

Comments 15 pages, CVPR Oral

Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing

Bingliang Zhang, Wenda Chu, Julius Berner, Chenlin Meng, Anima Anandkumar, Yang Song

机构 * California Institute of Technology（加州理工学院） ； Stanford University（斯坦福大学） ； OpenAI 纠错

Journal ref 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Stochastic-based Patch Filtering for Few-Shot Learning

Javier Rodenas, Eduardo Aguilar, Petia Radeva

机构 * AIBA, Departament de Matemàtiques & Informàtica Universitat de Barcelona（AIBA，数学与信息学院巴塞罗那大学） ； Departamento de Ingeniería de Sistemas y Computación Universidad Católica del Norte（系统与计算工程系天主教北方大学） ； Institute of Neuroscience, Universitat de Barcelona（神经科学研究所巴塞罗那大学） 纠错

Comments CVPR Workshop MetaFood 2025

Journal ref J. Rodenas Cumplido, E. Aguilar, and P. Radeva, "Slot Attention-based Feature Filtering for Few-Shot Learning," in Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR) Workshops, 2025, pp. 440-449

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction

Ben Kaye, Tomas Jakab, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi

机构 * University of Oxford（牛津大学） ； Stanford University（斯坦福大学） ； University of Cambridge（剑桥大学） 纠错

Comments First two authors contributed equally. CVPR 2025 highlight. Project page: https://dualpm.github.io