视觉大模型 / VLM

Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning

Gengyuan Zhang, Yurui Zhang, Kerui Zhang, Volker Tresp

专题命中 视觉推理 ：vision-language model(title,abstract)；分类 cs.CV、cs.AI

Comments Accepted to WACV 2024

ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense

Kankan Zhou, Eason Lai, Wei Bin Au Yeong, Kyriakos Mouratidis, Jing Jiang

专题命中 视觉推理 ：vision-language model(title,abstract)；分类 cs.CV、cs.AI

Comments This is the camera-ready version of the paper that will be published in the EMNLP 2023 Findings (Singapore, 6-10 December 2023)

Multimodal Representations for Teacher-Guided Compositional Visual Reasoning

Wafa Aissa, Marin Ferecatu, Michel Crucianu

专题命中 视觉推理 ：visual reasoning(title)；visual question answering(abstract)；分类 cs.CV、cs.LG

Journal ref Advanced Concepts for Intelligent Vision Systems, 21st International Conference (ACIVS 2023), Aug 2023, Kumamoto, Japan

Multimodal Analysis Of Google Bard And GPT-Vision: Experiments In Visual Reasoning

David Noever, Samantha Elizabeth Miller Noever

专题命中 视觉推理 ：visual reasoning(title)；vision-language model(abstract)；分类 cs.CV、cs.LG

Tree-of-Mixed-Thought: Combining Fast and Slow Thinking for Multi-hop Visual Reasoning

Pengbo Hu, Ji Qi, Xingyu Li, Hong Li, Xinqi Wang, Bing Quan, Ruiyu Wang, Yi Zhou

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV、cs.AI

Comments 16 pages,1 figures, under review

Visual Reasoning: from State to Transformation

Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV、cs.AI

Comments Accepted by TPAMI. arXiv admin note: substantial text overlap with arXiv:2011.13160

Curriculum Learning for Compositional Visual Reasoning

Wafa Aissa, Marin Ferecatu, Michel Crucianu

专题命中 视觉推理 ：visual reasoning(title)；visual question answering(abstract)；分类 cs.CV、cs.LG

Journal ref In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, Feb 2023, Lisbon, Portugal. pp.888-897

Visual Programming: Compositional visual reasoning without training

Tanmay Gupta, Aniruddha Kembhavi

专题命中 视觉推理 ：visual reasoning(title)；visual question answering(abstract)；分类 cs.CV、cs.AI

Zero-shot visual reasoning through probabilistic analogical mapping

Taylor W. Webb, Shuhao Fu, Trevor Bihl, Keith J. Holyoak, Hongjing Lu

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV、cs.AI

A Benchmark for Compositional Visual Reasoning

Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV、cs.AI

Understanding the computational demands underlying visual reasoning

Mohit Vaishnav, Remi Cadene, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV、cs.AI

Comments 26 pages, 16 figures

Journal ref Neural Computation, 2022

Grounding Complex Navigational Instructions Using Scene Graphs

Michiel de Jong, Satyapriya Krishna, Anuva Agarwal

专题命中 视觉推理 ：grounding(title)；visual question answering(abstract)；分类 cs.CV、cs.LG

Comments arXiv admin note: text overlap with arXiv:1706.07230 by other authors

Comparing Visual Reasoning in Humans and AI

Shravan Murlidaran, William Yang Wang, Miguel P. Eckstein

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV、cs.AI

Dynamic Language Binding in Relational Visual Reasoning

Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

专题命中 视觉推理 ：visual reasoning(title)；visual question answering(abstract)；分类 cs.CV、cs.LG

Comments Early version accepted by IJCAI20, Code available at https://github.com/thaolmk54/LOGNet-VQA

Meta Module Network for Compositional Visual Reasoning

Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Wang, Jingjing Liu

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV、cs.LG

Comments Accepted to WACV 21 (Oral)

Few-shot Visual Reasoning with Meta-analogical Contrastive Learning

Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.AI、cs.LG

Modeling Gestalt Visual Reasoning on the Raven's Progressive Matrices Intelligence Test Using Generative Image Inpainting Techniques

Tianyu Hua, Maithilee Kunda

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV、cs.LG

Few-Shot Abstract Visual Reasoning With Spectral Features

Tanner Bohn, Yining Hu, Charles X. Ling

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV、cs.LG

Comments 11 pages, 3 figures

CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions

Runtao Liu, Chenxi Liu, Yutong Bai, Alan Yuille

专题命中 视觉推理 ：visual reasoning(title)；visual question answering(abstract)；分类 cs.CV、cs.LG

Comments To appear in CVPR 2019. All data and code concerning CLEVR-Ref+ and IEP-Ref have been released at https://cs.jhu.edu/~cxliu/2019/clevr-ref+

Object Ordering with Bidirectional Matchings for Visual Reasoning

Hao Tan, Mohit Bansal

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV、cs.AI

Comments NAACL 2018 (8 pages; added pointer-ordering examples)

FiLM: Visual Reasoning with a General Conditioning Layer

Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron Courville

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV、cs.AI

Comments AAAI 2018. Code available at http://github.com/ethanjperez/film . Extends arXiv:1707.03017

Learning Visual Reasoning Without Strong Priors

Ethan Perez, Harm de Vries, Florian Strub, Vincent Dumoulin, Aaron Courville

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV、cs.AI

Comments Full AAAI 2018 paper is at arXiv:1709.07871. Presented at ICML 2017's Machine Learning in Speech and Language Processing Workshop. Code is at http://github.com/ethanjperez/film

Inferring and Executing Programs for Visual Reasoning

Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV、cs.LG

Building Reasonable Inference for Vision-Language Models in Blind Image Quality Assessment

构建合理的视觉-语言模型推理以实现盲图像质量评估

Yuan Li, Zitang Sun, Yen-ju Chen, Shin'ya Nishida

机构 * Graduate School of Informatics, Kyoto University（京都大学信息学研究生院） 纠错

专题命中 视觉推理 ：vision-language model(title,journal_ref)；VLM(abstract)；分类 cs.CV

AI总结 本文提出一种两阶段调优方法，通过分离视觉感知与质量推断，提升视觉-语言模型在盲图像质量评估中的推理稳定性与可靠性。

Comments Accepted to the ICONIP (International Conference on Neural Information Processing), 2025

Journal ref Building Reasonable Inference for Vision-Language Models in Blind Image Quality Assessment. In: Taniguchi, T., et al. Neural Information Processing. ICONIP 2025. Lecture Notes in Computer Science, vol 16310. Springer, Singapore

Perspective-Aware Reasoning in Vision-Language Models via Mental Imagery Simulation

Phillip Y. Lee, Jihyeon Je, Chanho Park, Mikaela Angelina Uy, Leonidas Guibas, Minhyuk Sung

专题命中 视觉推理 ：vision-language model(title,abstract)；分类 cs.CV；VLM(comments)

Comments Project Page: https://apc-vlm.github.io/

Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?

Bowen Zhao, Leo Parker Dirac, Paulina Varshavskaya

专题命中 视觉推理 ：vision language model(title)；vision-language model(abstract)；分类 cs.CV；VLM(comments)

Comments 13 pages, 4 figures. Code released at https://github.com/groundlight/vlm-visual-demonstrations

Deep Reason: A Strong Baseline for Real-World Visual Reasoning

Chenfei Wu, Yanzhao Zhou, Gen Li, Nan Duan, Duyu Tang, Xiaojie Wang

专题命中 视觉推理 ：visual reasoning(title,abstract)；分类 cs.CV；visual question answering(comments)

Comments CVPR 2019 Visual Question Answering and Dialog Workshop

CP-MoE: Consistency-Preserving Mixture-of-Experts for Continual Learning

CP-MoE：一致性保留的混合专家用于持续学习

Yang Liu, Toan Nguyen, Flora D. Salim

机构 * School of Computer Science and Engineering University of New South Wales（计算机科学与工程学院 新南威尔士大学） 纠错

专题命中 视觉推理 ：VLM(abstract,abstract_cn)；visual reasoning(abstract)；分类 cs.CV、cs.AI、cs.LG

AI总结 本文提出CP-MoE，一种基于瞬时专家的持续学习框架，通过一致性保留的路由偏置和瞬时专家引导的正则化机制，减少参数干扰和遗忘，同时保留跨任务知识转移。

Comments Accepted at CoLLAs 2026

MOON3.0: Reasoning-aware Multimodal Representation Learning for E-commerce Product Understanding

MOON3.0: 基于推理的多模态表示学习用于电商产品理解

Junxian Wu, Chenghan Fu, Zhanheng Nie, Daoze Zhang, Bowen Wan, Wanxian Guan, Chuan Yu, Jian Xu, Bo Zheng

机构 * Alibaba Group（阿里巴巴集团） 纠错

专题命中 视觉推理 ：MLLM(abstract,abstract_cn)；multimodal large language model(abstract)；分类 cs.CV、cs.AI、cs.LG

AI总结 MOON3.0通过多头模态融合、联合对比与强化学习框架及细粒度残差增强模块，提升电商产品细粒度属性建模能力，并在大规模多模态电商基准MBe3.0上实现零样本最优性能。

Comments Accepted by the 34th ACM International Conference on Multimedia (ACM MM), 2026. 10 pages, 6 figures

D-VLC: Decentralized Vision-Language Collaboration for Heterogeneous Embodied Multi-Robot Systems in Unknown Environments

D-VLC：面向未知环境中异构具身多机器人系统的去中心化视觉-语言协作框架

Yuan Zhou, Ruitong Lin, Shen Wang, Weiqi Gai, Mo Zhu, Xin Zhou, Yuze Wu, Fei Gao

专题命中 视觉推理 ：VLM(summary_cn,abstract)

AI总结 本文提出D-VLC框架，结合去中心化异步推理等技术，让通用VLM生成机器人特定动作，多场景实验显示其任务成功率超70%，完成时间较几何贪心基线最多缩短55.8%。