多模态大模型

Multiple Stochastic Prompt Tuning for Few-shot Adaptation under Extreme Domain Shift

Debarshi Brahma, Soma Biswas

机构 * Indian Institute of Science（印度科学研究院） 纠错

专题命中 图文多模态 ：image-text(abstract)；分类 cs.CV

RORPCap: Retrieval-based Objects and Relations Prompt for Image Captioning

Jinjing Gu, Tianbao Qin, Yuanyuan Pu, Zhengpeng Zhao

机构 * School of Information Science and Engineering（信息科学与工程学院） 纠错

专题命中 图文多模态 ：image-text(abstract)；分类 cs.CV

Small-Large Collaboration: Training-efficient Concept Personalization for Large VLM using a Meta Personalized Small VLM

Sihan Yang, Huitong Ji, Shaolin Lu, Jiayi Chen, Binxiao Xu, Ming Lu, Yuanxing Zhang, Wenhui Dong, Wentao Zhang

机构 * Peking University（北京大学） 纠错

专题命中 图文多模态 ：multi-modal(abstract)；分类 cs.CV

Large Language Models Facilitate Vision Reflection in Image Classification

Guoyuan An, JaeYoon Kim, SungEui Yoon

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation

Mattia Litrico, Mario Valerio Giuffrida, Sebastiano Battiato, Devis Tuia

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

Unified modality separation: A vision-language framework for unsupervised domain adaptation

Xinyao Li, Jingjing Li, Zhekai Du, Lei Zhu, Heng Tao Shen

机构 * University of Electronic Science and Technology of China（电子科学与技术大学） ； Tongji University（同济大学） 纠错

专题命中 图文多模态 ：cross-modal(abstract)；分类 cs.CV

Comments Accepted to TPAMI

Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment

Dahun Kim, Anelia Angelova

机构 * Google DeepMind（谷歌DeepMind） 纠错

专题命中 图文多模态 ：image-text(abstract)；分类 cs.AI

Comments COLM 2025

InspectVLM: Unified in Theory, Unreliable in Practice

Conor Wallace, Isaac Corley, Jonathan Lwowski

机构 * Zeitview 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

Comments Accepted to 2025 ICCV VISION Workshop

EvoVLMA: Evolutionary Vision-Language Model Adaptation

Kun Ding, Ying Wang, Shiming Xiang

机构 * Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

Comments This paper has been accepted by ACM Multimedia 2025 (ACM MM 2025)

Optimizing Vision-Language Consistency via Cross-Layer Regional Attention Alignment

Yifan Wang, Hongfeng Ai, Quangao Liu, Maowei Jiang, Ruiyuan Kang, Ruiqi Li, Jiahua Dong, Mengting Xiao, Cheng Jiang, Chenzhong Li

机构 * School of Medicine, The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）医学院） ； Shenyang Institute of Automation, Chinese Academy of Sciences（中国科学院沈阳自动化研究所） ； Shenzhen International Graduate School, Tsinghua University（清华大学深圳国际研究生院） ； Wave and Machine Intelligence Department, Technology Innovation Institute（技术创新研究院波浪与机器智能部门） ； University of the Chinese Academy of Sciences（中国科学院大学） ； McGill University（麦吉尔大学） 纠错

专题命中 图文多模态 ：cross-modal(abstract)；分类 cs.CV

Comments 10 pages

Describe Anything Model for Visual Question Answering on Text-rich Images

Yen-Linh Vu, Dinh-Thang Duong, Truong-Binh Duong, Anh-Khoi Nguyen, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Jianhua Xing, Xingjian Li, Tianyang Wang, Ulas Bagci, Min Xu

机构 * AI VIETNAM Lab（AI越南实验室） ； Carnegie Mellon University（卡内基梅隆大学） ； University of Wisconsin - Madison（威斯康星大学麦迪逊分校） ； University of Pittsburgh（匹兹堡大学） ； University of Alabama at Birmingham（阿拉巴马大学伯明翰分校） ； Northwestern University（西北大学） 纠错

专题命中 图文多模态 ：image-text(abstract)；分类 cs.CV

Comments 11 pages, 5 figures. Accepted to VisionDocs @ ICCV 2025

Scendi Score: Prompt-Aware Diversity Evaluation via Schur Complement of CLIP Embeddings

Azim Ospanov, Mohammad Jalali, Farzan Farnia

机构 * The Chinese University of Hong Kong, Department of Computer Science & Engineering（香港中文大学计算机科学与工程系） 纠错

专题命中 图文多模态 ：image-text(abstract)；分类 cs.CV

Analyze-Prompt-Reason: A Collaborative Agent-Based Framework for Multi-Image Vision-Language Reasoning

Angelos Vlachos, Giorgos Filandrianos, Maria Lymperaiou, Nikolaos Spanos, Ilias Mitsouras, Vasileios Karampinis, Athanasios Voulodimos

机构 * Artificial Intelligence and Learning Systems Laboratory, National Technical University of Athens（人工智能与学习系统实验室，国家技术大学） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers

Shijie Ma, Yuying Ge, Teng Wang, Yuxin Guo, Yixiao Ge, Ying Shan

机构 * ARC Lab, Tencent PCG（腾讯PCG ARC实验室） ； Institute of Automation, CAS（中国科学院自动化研究所） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

Comments ICCV 2025. Project released at: https://mashijie1028.github.io/GenHancer/

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers

Ji Ma, Wei Suo, Peng Wang, Yanning Zhang

机构 * Northwestern Polytechnical University（西北工业大学） ； National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology（集成空天地海大数据应用技术国家工程实验室） 纠错

专题命中 图文多模态 ：multi-modal(abstract)；分类 cs.CV

Comments Accepted By ACM MM 25

Toward Safe, Trustworthy and Realistic Augmented Reality User Experience

Yanming Xiu

机构 * Department of Electrical and Computer Engineering, Duke University（电子工程系，杜克大学） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

Comments 2 pages, 4 figures

DeltaVLM: Interactive Remote Sensing Image Change Analysis via Instruction-guided Difference Perception

Pei Deng, Wenqian Zhou, Hanlin Wu

机构 * School of Information Science and Technology, Beijing Foreign Studies University（信息科学与技术学院，北京外国语大学） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

Comments 12 pages, 5 figures. Submitted to IEEE Transactions on Geoscience and Remote Sensing (TGRS). Code and dataset are available at https://github.com/hanlinwu/DeltaVLM

See Different, Think Better: Visual Variations Mitigating Hallucinations in LVLMs

Ziyun Dai, Xiaoqiang Li, Shaohua Zhang, Yuanchen Wu, Jide Li

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

Comments Accepted by ACM MM25

Journal ref 33rd ACM International Conference on Multimedia 2025

CLIP-HandID: Vision-Language Model for Hand-Based Person Identification

Nathanael L. Baisa, Babu Pallam, Amudhavel Jayavel

机构 * School of Computer Science（计算机科学学院） ； Informatics De Montfort University（信息学德蒙特福特大学） 纠错

专题命中 图文多模态 ：multi-modal(abstract)；分类 cs.CV

AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock

Umair Nawaz, Muhammad Zaigham Zaheer, Fahad Shahbaz Khan, Hisham Cholakkal, Salman Khan, Rao Muhammad Anwer

机构 * MBZ University of AI（人工智能大学） ； CECS, Australian National University（计算机科学与工程系，澳大利亚国立大学） ； Computer Vision Laboratory, Linköping University（链接öping大学计算机视觉实验室） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

Distribution-Based Masked Medical Vision-Language Model Using Structured Reports

Shreyank N Gowda, Ruichi Zhang, Xiao Gu, Ying Weng, Lu Yang

机构 * School of Computer Science, University of Nottingham（计算机科学学院，诺丁汉大学） ； Department of Computer Science and Technology, School of Informatics, Xiamen University（计算机科学与技术系，信息学院，厦门大学） ； CHI Lab, University of Oxford（CHI实验室，牛津大学） ； School of Computer Science, University of Nottingham Ningbo China（计算机科学学院，宁波大学中国） 纠错

专题命中 图文多模态 ：image-text(abstract)；分类 cs.CV

Comments Accepted in MICCAI-W 2025

Fairness and Robustness of CLIP-Based Models for Chest X-rays

Théo Sourget, David Restrepo, Céline Hudelot, Enzo Ferrante, Stergios Christodoulidis, Maria Vakalopoulou

机构 * MICS, CentraleSupélec - Université Paris-Saclay（MICS，中央超导学院——巴黎萨克雷大学） ； CONICET, Universidad de Buenos Aires（CONICET，布宜诺斯艾利斯大学） 纠错

专题命中 图文多模态 ：image-text(abstract)；分类 cs.CV

Comments Accepted for publication at the FAIMI MICCAI workshop 2025

Querying GI Endoscopy Images: A VQA Approach

Gaurav Parajuli

机构 * Johannes Kepler University Linz（约翰·凯撒大学林茨） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

PEVLM: Parallel Encoding for Vision-Language Models

Letian Kang, Shixian Luo, Yiqiang Li, Yuxin Yin, Shenxuan Zhou, Xiaoyang Yu, Jin Yang, Yong Wu

机构 * Li Auto Inc.（利自动公司） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

VESPA: Towards un(Human)supervised Open-World Pointcloud Labeling for Autonomous Driving

Levente Tempfli, Esteban Rivera, Markus Lienkamp

机构 * Technical University of Munich（慕尼黑技术大学） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

SAViL-Det: Semantic-Aware Vision-Language Model for Multi-Script Text Detection

Mohammed-En-Nadhir Zighem, Abdenour Hadid

机构 * Sorbonne Center for Artificial Intelligence, Sorbonne University Abu Dhabi, UAE（索邦人工智能中心，阿布扎比分校，阿联酋） 纠错

专题命中 图文多模态 ：cross-modal(abstract)；分类 cs.CV

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking

X. Feng, S. Hu, X. Li, D. Zhang, M. Wu, J. Zhang, X. Chen, K. Huang

机构 * School of Artificial Intelligence, UCAS（人工智能学院，中国科学院大学） ； The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, CASIA（复杂系统认知与决策智能重点实验室，中国科学院自动化所） ； School of Physical and Mathematical Sciences, NTU（物理与数学科学学院，国立新加坡大学） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

Comments Accepted by ICCV2025 Highlight ~

One Last Attention for Your Vision-Language Model

Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao, Lingqiao Liu, Zhiqiang Shen

专题命中 图文多模态 ：cross-modal(abstract)；分类 cs.CV

Comments Accepted by ICCV 2025

MUSE-VL: Modeling Unified VLM through Semantic Discrete Encoding

Rongchang Xie, Chen Du, Ping Song, Chang Liu

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV

Comments ICCV 2025

Affordance-Guided Reinforcement Learning via Visual Prompting

Olivia Y. Lee, Annie Xie, Kuan Fang, Karl Pertsch, Chelsea Finn

机构 * Stanford University（斯坦福大学） ； Cornell University（康奈尔大学） ； University of California, Berkeley（加州大学伯克利分校） 纠错

专题命中 图文多模态 ：multi-modal(abstract)；分类 cs.AI

Comments 8 pages, 6 figures. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025