多模态大模型

FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders

Riccardo Fosco Gramaccioni, Christian Marinoni, Eleonora Grassucci, Giordano Cicchetti, Aurelio Uncini, Danilo Comminiello

机构 * Dept. Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome（信息工程、电子与电信系（DIET），罗马萨皮恩扎大学） 纠错

专题命中 视频多模态 ：multimodal(title,abstract)；分类 cs.CV、cs.MM、eess.AS

Comments Acepted at IJCNN 2025

Leveraging Foundation Models for Multimodal Graph-Based Action Recognition

Fatemeh Ziaeetabar, Florentin Wörgötter

机构 * School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran（数学、统计与计算机科学学院，科学学院，塔里斯坦大学） 纠错

专题命中 视频多模态 ：multimodal(title,abstract)；分类 cs.CV

Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow

Ruyang Liu, Shangkun Sun, Haoran Tang, Ge Li, Wei Gao

机构 * School of Electronic and Computer Engineering, Shenzhen Graduate School, 2 Peng Cheng LaboratoryPeking University（1 电子与计算机工程学院，深圳研究生院，2 深圳鹏城实验室，北京大学） 纠错

专题命中 视频多模态 ：multimodal(abstract)；MLLM(abstract)；分类 cs.CV

Comments Accepted to ICCV' 2025

When Thinking Drifts: Evidential Grounding for Robust Video Reasoning

Mi Luo, Zihui Xue, Alex Dimakis, Kristen Grauman

机构 * The University of Texas at Austin（德克萨斯大学奥斯汀分校） ； UC Berkeley（伯克利大学） ； Bespoke Labs（Bespoke实验室） 纠错

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

Comments Accepted by NeurIPS 2025, Project page: https://vision.cs.utexas.edu/projects/video-ver/

VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization

Xinye Cao, Hongcan Guo, Jiawen Qian, Guoshun Nan, Chao Wang, Yuqi Pan, Tianhao Hou, Xiaojuan Wang, Yutong Gao

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） ； Minzu University of China（民族大学） 纠错

专题命中 视频多模态 ：multi-modal(abstract)；分类 cs.CV、cs.AI

Comments Accepted by ICCV 2025

LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders

Ilan Naiman, Emanuel Ben-Baruch, Oron Anschel, Alon Shoshan, Igor Kviatkovsky, Manoj Aggarwal, Gerard Medioni

机构 * Amazon（亚马逊） 纠错

专题命中 视频多模态 ：multimodal(abstract)；分类 cs.CV

Comments Accepted to the International Conference on Computer Vision, ICCV 2025

The New Quant: A Survey of Large Language Models in Financial Prediction and Trading

Weilong Fu

专题命中 视频多模态 ：multimodal(abstract)

Comments 21 pages