arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~

高校专区

The Chinese University of Hong Kong(香港中文大学)

2026-02-25 至 2026-02-25 共收录 13
2602.20159 2026-02-25 cs.CV cs.AI cs.LG cs.MM cs.RO

A Very Big Video Reasoning Suite

一个非常大的视频推理套件

Maijunxian Wang, Ruisi Wang, Juyi Lin, Ran Ji, Thaddäus Wiedemer, Qingying Gao, Dezhi Luo, Yaoyao Qian, Lianyu Huang, Zelong Hong, Jiahui Ge, Qianli Ma, Hang He, Yifan Zhou, Lingzi Guo, Lantao Mei, Jiachen Li, Hanwen Xing, Tianqi Zhao, Fengyuan Yu, Weihang Xiao, Yizheng Jiao, Jianheng Hou, Danyang Zhang, Pengcheng Xu, Boyang Zhong, Zehong Zhao, Gaoyun Fang, John Kitaoka, Yile Xu, Hua Xu, Kenton Blacutt, Tin Nguyen, Siyuan Song, Haoran Sun, Shaoyue Wen, Linyang He, Runming Wang, Yanzhi Wang, Mengyue Yang, Ziqiao Ma, Raphaël Millière, Freda Shi, Nuno Vasconcelos, Daniel Khashabi, Alan Yuille, Yilun Du, Ziming Liu, Bo Li, Dahua Lin, Ziwei Liu, Vikash Kumar, Yijiang Li, Lei Yang, Zhongang Cai, Hokin Deng

机构 * University of California, Berkeley(加州大学伯克利分校) Nanyang Technological University(南洋理工大学) Northeastern University(东北大学) University of Tübingen(图宾根大学) Johns Hopkins University(约翰霍普金斯大学) University of Michigan(密歇根大学) University of Southern California(南加州大学) Washington University in St. Louis(圣路易斯华盛顿大学) Shanghai Jiao Tong University(上海交通大学) East China Normal University(华东师范大学) Stanford University(斯坦福大学) University of Texas at Austin(得克萨斯大学奥斯汀分校) University of California, Los Angeles(加州大学洛杉矶分校) Cornell University(康奈尔大学) San Jose State University(圣何塞州立大学) University of California, Irvine(加州大学尔湾分校) Technical University of Munich(慕尼黑技术大学) University of California, San Diego(加州大学圣地亚哥分校) Imperial College London(伦敦帝国学院) University of Wisconsin--Madison(威斯康星大学麦迪逊分校) University of Edinburgh(爱丁堡大学) Hong Kong University of Science(香港科学大学) New York University(纽约大学) Auburn University(阿伯丁大学) Columbia University(哥伦比亚大学) University of Bristol(布里斯托大学) University of Waterloo(滑铁卢大学) The Chinese University of Hong Kong(香港中文大学) Carnegie Mellon University(卡内基梅隆大学) University of Oxford(牛津大学) University of North Carolina at Chapel Hill(北卡罗来纳大学教堂山分校)

AI总结 VBVR数据集和评估框架旨在解决视频推理能力研究中的大规模数据缺乏问题,通过大规模实验观察到对未见任务的泛化能力。

Comments Homepage: https://video-reason.com/

详情

展开后加载摘要…

URL PDF HTML 收藏
2505.03356 2026-02-25 cs.RO

Effective Reinforcement Learning Control using Conservative Soft Actor-Critic

通过保守的软演员-评论家实现有效的强化学习控制

Zhiwei Shang, Xinyi Yuan, Wenjun Huang, Yunduan Cui, Di Chen, Meixin Zhu

机构 * School of Data Science, The Chinese University of Hong Kong, Shenzhen, China(香港中文大学(深圳)数据科学学院) Graduate School of Engineering Science, Osaka University, Japan(大阪大学工学研究科) Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China(中国科学院深圳先进技术研究院) Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China(香港理工大学电子与电气工程系) School of Transportation, Southeast University, China(东南大学交通运输学院)

AI总结 本文提出保守的软演员-评论家算法,通过熵和相对熵正则化提升强化学习控制的稳定性与效率。

Comments 8 pages, 9 figures

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.20859 2026-02-25 cs.CL

FinAnchor: Aligned Multi-Model Representations for Financial Prediction

FinAnchor:用于金融预测的对齐多模型表示

Zirui He, Huopu Zhang, Yanguang Liu, Sirui Wu, Mengnan Du

机构 * New Jersey Institute of Technology(新泽西理工学院) Georgia Institute of Technology(佐治亚理工学院) Chinese University of Hong Kong, Shenzhen(香港中文大学(深圳))

AI总结 FinAnchor通过整合多个LLM的嵌入并对齐到锚定空间,提升金融预测的鲁棒性与性能。

Comments 11 pages, 4 figures, 5 tables

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.20818 2026-02-25 cs.CV

GatedCLIP: Gated Multimodal Fusion for Hateful Memes Detection

GatedCLIP:用于仇恨表情包检测的门控多模态融合

Yingying Guo, Ke Zhang, Zirong Zeng

机构 * The Chinese University of Hong Kong, Shenzhen(香港中文大学(深圳))

AI总结 GatedCLIP通过门控融合和对比学习提升多模态仇恨表情包检测性能,实现0.66 AUROC优于CLIP基线。

Comments Preprint

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.20636 2026-02-25 cs.CV cs.AI

SurgAtt-Tracker: Online Surgical Attention Tracking via Temporal Proposal Reranking and Motion-Aware Refinement

SurgAtt-Tracker: 通过时间提案重排和运动感知细化实现在线手术注意力跟踪

Rulin Zhou, Guankun Wang, An Wang, Yujie Ma, Lixin Ouyang, Bolin Cui, Junyan Li, Chaowei Zhu, Mingyang Li, Ming Chen, Xiaopin Zhong, Peng Lu, Jiankun Wang, Xianming Liu, Hongliang Ren

机构 * Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China(香港中文大学电子工程系) Division of Gastrointestinal Surgery, Shenzhen People's Hospital, China(深圳人民医院胃肠外科) College of Mechatronics and Control Engineering, Shenzhen University, China(深圳大学机电与控制工程学院) Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China(香港大学机械工程系) Department of Electronic and Electrical Engineering, Southern University of Science and Technology(南方科技大学电子与电气工程系)

AI总结 SurgAtt-Tracker通过时间提案重排和运动感知细化实现手术注意力跟踪,提供帧级视野指导以支持机器人规划和自动摄像头控制。

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.20548 2026-02-25 cs.CV

Robust Spiking Neural Networks Against Adversarial Attacks

对抗攻击下的鲁棒脉冲神经网络

Shuai Wang, Malu Zhang, Yulin Jiang, Dehao Zhang, Ammar Belatreche, Yu Liang, Yimeng Shan, Zijian Zhou, Yang Yang, Haizhou Li

机构 * University of Electronic Science and Technology of China(电子科技大学) Northumbria University(诺丁汉大学) Shenzhen Loop Area Institute(深圳河套学院) The Chinese University of Hong Kong, Shenzhen(香港中文大学(深圳))

AI总结 本文提出阈值保护优化方法,通过增加梯度稀疏性和引入噪声脉冲神经元,提升直接训练SNNs在对抗攻击下的鲁棒性。

Comments Published as a conference paper at ICLR 2026

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.20344 2026-02-25 cs.LG cs.AI q-bio.QM

Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction

通过基于片段的自监督嵌入预测进行层次分子表示学习

Jiele Wu, Haozhe Ma, Zhihan Guo, Thanh Vinh Vo, Tze Yun Leong

机构 * School of Computing, National University of Singapore, Singapore(新加坡国立大学计算机学院) Engineering, The Chinese University of Hong Kong, China(香港中文大学工程学院)

AI总结 本文提出GraSPNet,通过层次自监督框架学习分子的原子和片段级语义,以提升分子性质预测的性能。

Comments 15 pages (8 pages main text),8 figures

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.20216 2026-02-25 cs.RO

Sample-Efficient Learning with Online Expert Correction for Autonomous Catheter Steering in Endovascular Bifurcation Navigation

基于在线专家纠正的高效学习用于内血管分叉导航的自主导管操控

Hao Wang, Tianliang Yao, Bo Lu, Zhiqiang Pei, Liu Dong, Lei Ma, Peng Qi

机构 * Tongji University(同济大学) College of Electronics and Information Engineering(电子信息工程学院) Shanghai Institute of Intelligent Science and Technology(上海智能科学与技术研究院) The Chinese University of Hong Kong(香港中文大学) School of Mechanical and Electric Engineering(机械电子工程学院) Soochow University(苏州大学) Shanghai Operation Robot Co., Ltd.(上海操作机器人有限公司) State Key Laboratory of Cardiovascular Diseases(心血管疾病国家重点实验室)

AI总结 本文提出一种结合在线专家纠正的样本高效强化学习框架,用于内血管分叉导航中的自主导管操控,提升了在复杂血管结构中的操控精度和鲁棒性。

Comments This paper has been accepted by IEEE ICRA 2026. 8 pages, 5 figures, 1 table

详情

展开后加载摘要…

URL PDF HTML 收藏
2602.20215 2026-02-25 cs.RO

Vision-Based Reasoning with Topology-Encoded Graphs for Anatomical Path Disambiguation in Robot-Assisted Endovascular Navigation

基于拓扑编码图的视觉推理用于机器人辅助血管内导航中的解歧

Jiyuan Zhao, Zhengyu Shi, Wentong Tian, Tianliang Yao, Dong Liu, Tao Liu, Yizhe Wu, Peng Qi

机构 * Department of Control Science and Engineering, College of Electronics and Information Engineering, and Shanghai Institute of Intelligent Science and Technology, Tongji University(控制科学与工程系,电子与信息工程学院和智能科学与技术上海研究院,同济大学) Department of Electronic Engineering, Faculty of Engineering, The Chinese University of Hong Kong(电子工程系,工程学院,香港中文大学) Shanghai Operation Robot Co., Ltd.(上海操作机器人有限公司) Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, National Clinical Research Center for Interventional Medicine(心内科,复旦大学中山医院,上海心血管疾病研究所,介入医学临床研究中心) State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University(心血管疾病国家重点实验室和医学创新中心,上海东医院,同济大学医学院)

AI总结 本文提出SCAR-UNet-GAT框架,通过拓扑编码图实现机器人辅助血管内导航中的路径解歧,显著提升路径规划的准确性和鲁棒性。

Comments This paper has been accepted by IEEE ICRA 2026. 8 pages, 3 figures, 3 tables

详情

展开后加载摘要…

URL PDF HTML 收藏
2511.16156 2026-02-25 cs.CV

Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers

可插拔剪枝与连续层蒸馏用于扩散变换器

Jian Ma, Qirong Peng, Xujie Zhu, Peixing Xie, Chen Chen, Haonan Lu

机构 * OPPO AI Center(OPPO人工智能中心) Sun Yat-sen University(中山大学) The Chinese University of Hong Kong(香港中文大学)

AI总结 本研究提出PPCL方法,通过连续层蒸馏和灵活剪枝技术,在保持图像生成质量的同时实现50%的参数压缩,适用于资源受限环境。

Comments Accepted to CVPR 2026

详情

展开后加载摘要…

URL PDF HTML 收藏
2509.19975 2026-02-25 cs.LG

From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting

从样本到场景:概率预测的新范式

Xilin Dai, Zhijian Xu, Wanxu Cai, Qiang Xu

机构 * ZJU-UIUC Institute, Zhejiang University(浙江大学ZJU-UIUC研究院) Department of Computer Science and Engineering, The Chinese University of Hong Kong(香港中文大学计算机科学与工程系) School of Software, Tsinghua University(清华大学软件学院)

AI总结 本文提出概率场景范式,通过直接生成场景与概率对,改进概率预测模型,实现更高效和准确的预测效果。

Comments Accepted by ICLR 2026

详情

展开后加载摘要…

URL PDF HTML 收藏
2509.15148 2026-02-25 cs.CL

ATTS: Asynchronous Test-Time Scaling via Conformal Prediction

ATTS: 通过置信预测实现异步测试时间扩展

Jing Xiong, Qiujiang Chen, Fanghua Ye, Zhongwei Wan, Chuanyang Zheng, Chenyang Zhao, Hui Shen, Hanbo Li, Chaofan Tao, Haochen Tan, Haoli Bai, Lifeng Shang, Lingpeng Kong, Ngai Wong

机构 * The University of Hong Kong(香港大学) Huawei Technologies Co., Ltd(华为技术有限公司) University College London(伦敦大学学院) The Chinese University of Hong Kong(香港中文大学)

AI总结 ATTS通过异步测试时间扩展方法,在保持精度的同时实现测试时间扩展的显著加速和吞吐量提升。

Comments Accepted by ICLR 2026

详情

展开后加载摘要…

URL PDF HTML 收藏
2502.12600 2026-02-25 cs.CV

Revisiting the Generalization Problem of Low-level Vision Models Through the Lens of Image Deraining

通过图像去雨的视角重新审视低级视觉模型的泛化问题

Jinfan Hu, Zhiyuan You, Jinjin Gu, Kaiwen Zhu, Tianfan Xue, Chao Dong

机构 * Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences(深圳先进技术研究院,中国科学院) University of Chinese Academy of Sciences(中国科学院大学) The Chinese University of Hong Kong(香港中文大学) Shanghai Jiao Tong University(上海交通大学) Shanghai Artificial Intelligence Laboratory(上海人工智能实验室) Shenzhen Key Lab of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences(深圳计算机视觉与模式识别重点实验室,深圳先进技术研究院,中国科学院) Shenzhen University of Advanced Technology(深圳大学)

AI总结 本文通过图像去雨研究,揭示低级视觉模型泛化问题源于捷径学习,提出平衡数据复杂性和利用生成模型先验以提升模型鲁棒性。

Comments arXiv admin note: substantial text overlap with arXiv:2305.15134

详情

展开后加载摘要…

URL PDF HTML 收藏