arXivDaily arXiv每日学术速递 周一至周五更新

AI 大模型

多模态大模型

跨文本、图像、视频、音频等模态的大模型与学习方法。

2025-11-05 至 2025-11-05 共收录 5 信号源:cs.CV, cs.CL, cs.AI, cs.MM, eess.AS

1. 视频多模态 5 篇

2507.14809 2025-11-05 cs.CV cs.MM cs.RO 81%

Light Future: Multimodal Action Frame Prediction via InstructPix2Pix

Zesen Zhong, Duomin Zhang, Yijia Li

机构 * School of Data Science, The Chinese University of Hong Kong, Shenzhen(数据科学学院,香港中文大学(深圳))

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

Comments 9 pages including appendix, 4 tables, 8 figures, to be submitted to WACV 2026

详情

展开后加载摘要…

URL PDF HTML 收藏
2511.02182 2025-11-05 cs.CV 79%

Pinpointing Trigger Moment for Grounded Video QA: Enhancing Spatio-temporal Grounding in Multimodal Large Language Models

Jinhwan Seo, Yoonki Cho, Junhyug Noh, Sung-eui Yoon

机构 * KAIST(韩国科学技术院) Ewha Womans University(成均馆大学)

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

Comments 1st place winner of Grounded Videoqa track at the ICCV2025 Perception Test

详情

展开后加载摘要…

URL PDF HTML 收藏
2511.01405 2025-11-05 eess.SP cs.ET 78%

MM-2FSK: Multimodal Frequency Shift Keying for Ultra-Efficient and Robust High-Resolution MIMO Radar Imaging

Vanessa Wirth, Johanna Bräunig, Martin Vossiek, Tim Weyrich, Marc Stamminger

专题命中 视频多模态 :multimodal(title,abstract)

Comments 9 pages

详情

展开后加载摘要…

URL PDF HTML 收藏
2507.17664 2025-11-05 cs.CV cs.RO 57%

Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras

Lingdong Kong, Dongyue Lu, Ao Liang, Rong Li, Yuhao Dong, Tianshuai Hu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau

机构 * NUS(新加坡国立大学) HKUST(GZ)(香港科技大学(广州)) NTU(南洋理工大学) HKUST(香港科技大学) I 2 R, A*STAR(I2R, A*STAR) IPAL, CNRS IRL 2955, Singapore(IPAL, CNRS IRL 2955, 新加坡) CerCo, CNRS UMR 5549, Université Toulouse III(CerCo, CNRS UMR 5549, 法国图卢兹第三大学)

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

Comments NeurIPS 2025 Spotlight; 43 pages, 17 figures, 16 tables; Project Page at https://talk2event.github.io

详情

展开后加载摘要…

URL PDF HTML 收藏
2511.02484 2025-11-05 eess.SY cs.SY eess.SP 50%

Using ensemble learning with hybrid graph neural networks and transformers to predict traffic in cities

Ismail Zrigui, Samira Khoulji, Mohamed Larbi Kerkeb

专题命中 视频多模态 :multimodal(abstract)

详情

展开后加载摘要…

URL PDF HTML 收藏