视觉大模型 / VLM

Img2CAD: Reverse Engineering 3D CAD Models from Images through VLM-Assisted Conditional Factorization

Yang You, Mikaela Angelina Uy, Jiaqi Han, Rahul Thomas, Haotong Zhang, Yi Du, Hansheng Chen, Francis Engelmann, Suya You, Leonidas Guibas

机构 * Stanford University（斯坦福大学） ； NVIDIA（英伟达） ； Peking University（北京大学） ； DEVCOM Army Research Laboratory（陆军研究实验室） 纠错

专题命中 VLM训练与架构 ：VLM(title)；分类 cs.CV

Comments Accepted to SIGGRAPH Asia 2025

VLA-Mark: A cross modal watermark for large vision-language alignment model

Shuliang Liu, Qi Zheng, Jesse Jiaxi Xu, Yibo Yan, Junyan Zhang, He Geng, Aiwei Liu, Peijie Jiang, Jia Liu, Yik-Cheung Tam, Xuming Hu

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） ； The Hong Kong University of Science and Technology（香港科技大学） ； University of Toronto（多伦多大学） ； Ant Group, Alibaba（蚂蚁集团，阿里巴巴） ； New York University Shanghai（纽约大学上海分校） 纠错

专题命中 VLM训练与架构 ：vision-language model(abstract)；grounding(abstract)；分类 cs.CV、cs.AI

Comments Accepted by the main conference, EMNLP 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 VLM训练与架构 ：vision-language model(abstract)；VLM(abstract)；分类 cs.CV

Comments 39 pages, 13 figures. Accept for NeruIPS2025

EmoQ: Speech Emotion Recognition via Speech-Aware Q-Former and Large Language Model

Yiqing Yang, Man-Wai Mak

机构 * Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University（电子与电气工程系，香港理工大学） 纠错

专题命中 VLM训练与架构 ：multimodal large language model(abstract)；MLLM(abstract)

Comments 5 pages, 2 figures

MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer

Yanghao Li, Rui Qian, Bowen Pan, Haotian Zhang, Haoshuo Huang, Bowen Zhang, Jialing Tong, Haoxuan You, Xianzhi Du, Zhe Gan, Hyunjik Kim, Chao Jia, Zhenbang Wang, Yinfei Yang, Mingfei Gao, Zi-Yi Dou, Wenze Hu, Chang Gao, Dongxu Li, Philipp Dufter, Zirui Wang, Guoli Yin, Zhengdong Zhang, Chen Chen, Yang Zhao, Ruoming Pang, Zhifeng Chen

机构 * Apple（苹果公司） 纠错

专题命中 VLM训练与架构 ：multimodal large language model(abstract)；分类 cs.CV、cs.LG

Discrete Diffusion in Large Language and Multimodal Models: A Survey

Runpeng Yu, Qi Li, Xinchao Wang

专题命中 VLM训练与架构 ：MLLM(abstract)；分类 cs.AI、cs.LG

Copycat vs. Original: Multi-modal Pretraining and Variable Importance in Box-office Prediction

Qin Chao, Eunsoo Kim, Boyang Li

机构 * College of Computing and Data Science, Nanyang Technological University, Singapore（计算与数据科学学院，南洋理工大学，新加坡） ； Business School, University of Seoul, Republic of Korea（商学学院，首尔大学，韩国） ； Alibaba Group and the Alibaba-NTU Joint Research Institute, Singapore（阿里巴巴集团及阿里巴巴-南洋理工大学联合研究机构，新加坡） 纠错

专题命中 VLM训练与架构 ：grounding(abstract)；分类 cs.LG

M-PACE: Mother Child Framework for Multimodal Compliance

Shreyash Verma, Amit Kesari, Vinayak Trivedi, Anupam Purwar, Ratnesh Jamidar

专题命中 其他VLM ：multimodal large language model(abstract)；MLLM(abstract)；分类 cs.CV

Comments The M-PACE framework uses a "mother-child" AI model system to automate and unify compliance checks for ads, reducing costs while maintaining high accuracy

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 其他VLM ：vision-language model(abstract)；分类 cs.CV、cs.AI

Comments EMNLP 2025 Findings