多模态大模型

Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models

Hao Dong, Moru Liu, Kaiyang Zhou, Eleni Chatzi, Juho Kannala, Cyrill Stachniss, Olga Fink

专题命中 图文多模态 ：multimodal(title,abstract)；multimodal foundation model(abstract)；分类 cs.CV、cs.AI

Comments Project page: https://github.com/donghao51/Awesome-Multimodal-Adaptation

RegionMed-CLIP: A Region-Aware Multimodal Contrastive Learning Pre-trained Model for Medical Image Understanding

Tianchen Fang, Guiru Liu

专题命中 图文多模态 ：multimodal(title,abstract)；image-text(abstract)；分类 cs.CV、cs.AI

Comments Upon further review, we identified that our dataset requires optimization to ensure research reliability and accuracy. Additionally, considering the target journal's latest submission policies, we believe comprehensive manuscript revisions are necessary

Multi-Modal Interpretability for Enhanced Localization in Vision-Language Models

Muhammad Imran, Yugyung Lee

机构 * Computer Science, School of Science and Engineering, University of Missouri - Kansas City（计算机科学系，科学与工程学院，密苏里大学-堪萨斯城分校） 纠错

专题命中 图文多模态 ：multi-modal(title,abstract)；cross-modal(abstract)；分类 cs.CV；multimodal(journal_ref)

Comments 8 pages, 6 figures, 3 tables

Journal ref Non-Archival track - The First Workshop on Multimodal Knowledge and Language Modeling IJCAI 2025 Workshop, August 16, 2025 IJCAI 2025 Workshop, August 16, 2025 Room 516B, Palais des congrès, Montreal, Canada

Robust Vision-Language Models via Tensor Decomposition: A Defense Against Adversarial Attacks

Het Patel, Muzammil Allie, Qian Zhang, Jia Chen, Evangelos E. Papalexakis

机构 * University of California, Riverside（加州大学河滨分校） 纠错

专题命中 图文多模态 ：multimodal(abstract,comments)；分类 cs.CV、cs.CL、cs.AI

Comments To be presented as a poster at the Workshop on Safe and Trustworthy Multimodal AI Systems (SafeMM-AI), 2025

LLMs Can Compensate for Deficiencies in Visual Representations

Sho Takishita, Jay Gala, Abdelrahman Mohamed, Kentaro Inui, Yova Kementchedjhieva

机构 * Fujitsu Limited（富士通有限公司） ； MBZUAI ； Tohoku University（东北大学） ； RIKEN（日本研究机构） 纠错

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

Comments EMNLP 2025 Findings

SmolRGPT: Efficient Spatial Reasoning for Warehouse Environments with 600M Parameters

Abdarahmane Traore, Éric Hervet, Andy Couturier

机构 * Embia, Computer Science Department, Faculty of Science, Université de Moncton（Embia计算机科学系，科学学院，蒙特龙大学） 纠错

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

Comments 9 pages, 3 figures, IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation

Marc Lafon, Gustavo Adolfo Vargas Hakim, Clément Rambour, Christian Desrosier, Nicolas Thome

机构 * Conservatoire National des Arts et Métiers（法国国家艺术与工艺学院） ； Sorbonne Université（索邦大学） ； ETS Montreal（蒙特利尔ETS） ； Institut universitaire de France（法国国家科学研究中心） 纠错

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

Journal ref 39th Conference on Neural Information Processing Systems, NeurIPS 2025

ViLU: Learning Vision-Language Uncertainties for Failure Prediction

Marc Lafon, Yannis Karmim, Julio Silva-Rodríguez, Paul Couairon, Clément Rambour, Raphaël Fournier-Sniehotta, Ismail Ben Ayed, Jose Dolz, Nicolas Thome

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

Journal ref International Conference on Computer Vision, ICCV 2025

Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models

Dilxat Muhtar, Enzhuo Zhang, Zhenshi Li, Feng Gu, Yanglangxing He, Pengfeng Xiao, Xueliang Zhang

机构 * Nanjing University（南京大学） 纠错

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

Comments 39 pages, 13 figures. Accept for NeruIPS2025

SAIL-VL2 Technical Report

Weijie Yin, Yongjie Ye, Fangxun Shu, Yue Liao, Zijian Kang, Hongyuan Dong, Haiyang Yu, Dingkang Yang, Jiacong Wang, Han Wang, Wenzhuo Liu, Xiao Liang, Shuicheng Yan, Chao Feng

机构 * Douyin SAIL Team（字节跳动 SAIL 团队） ； LV-NUS Lab（NUS 实验室） 纠错

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

Comments Technical Report

Affordance-Based Disambiguation of Surgical Instructions for Collaborative Robot-Assisted Surgery

Ana Davila, Jacinto Colan, Yasuhisa Hasegawa

机构 * Nagoya University, Japan（名古屋大学） 纠错

专题命中 图文多模态 ：multimodal(abstract)

Comments To be presented at the 1st Workshop on Intelligent Cobodied Assistance and Robotic Empowerment (iCARE). 2025 Conference on Robot Learning (CoRL)