Question-Answering Dense Video Events
机构 * National University of Singapore(新加坡国立大学)
专题命中 视频多模态 :MLLM(abstract);分类 cs.CV、cs.AI、cs.MM
Comments Accepted to SIGIR'25
AI 大模型
跨文本、图像、视频、音频等模态的大模型与学习方法。
机构 * National University of Singapore(新加坡国立大学)
专题命中 视频多模态 :MLLM(abstract);分类 cs.CV、cs.AI、cs.MM
Comments Accepted to SIGIR'25
机构 * Beijing University of Posts and Telecommunications(北京邮电大学) ; Huawei Noah’s Ark Lab(华为诺亚实验室)
专题命中 视频多模态 :multimodal(abstract);cross-modal(abstract)
机构 * State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences(多模态人工智能系统国家重点实验室,自动化研究所,中国科学院) ; Samsung R&D Institute China–Beijing(三星中国北京研发中心) ; Beijing Academy of Artificial Intelligence(北京人工智能研究院)
专题命中 视频多模态 :multi-modal(abstract);cross-modal(abstract)
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.AI、cs.MM
Comments Accepted in IEEE ICME 2025. This is the authors' accepted version
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments Technical Report (In Progress); Code released at: https://github.com/TencentARC/SEED-Bench-R1
专题命中 视频多模态 :cross-modal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments 8 pages, 6 figures, 3 tables
专题命中 视频多模态 :cross-modal(abstract);分类 cs.CV、cs.AI、eess.AS
Comments Project Page: https://imagintalk.github.io
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.CL、cs.AI
专题命中 视频多模态 :multimodal(abstract);MLLM(abstract)
Comments 11 pages
Journal ref CHI Conference on Human Factors in Computing Systems (CHI EA 2025)
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
专题命中 视频多模态 :cross-modal(abstract);分类 cs.CV、cs.MM、eess.AS
Comments accepted by NeurIPS 2024
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments 14 pages, 14 figures
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments Project Homepage: https://llava-vl.github.io/blog/2024-08-05-llava-onevision/
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments EMNLP 2024 (Main)
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments Project Page: https://vinoground.github.io
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.MM
Comments Under peer review
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments presented at MIRU2024
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.AI、cs.MM
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.CL、cs.AI
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.MM
Comments Work on progress
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments 38 pages, 44 figures
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.CL、cs.AI
Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 7134-7143
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.AI、cs.MM
Comments 20 pages
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments https://github.com/lx6c78/Vision-Mamba-A-Comprehensive-Survey-and-Taxonomy
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments Parameter Efficient Fine-Tuning Strategy for Video-based Pedestrian Attribute Recognition
专题命中 视频多模态 :cross-modal(abstract);分类 cs.CV、cs.AI、cs.MM
Comments Accepted to CVPR'24. (Compared with preprint version, we mainly improve the presentation, discuss more related works, and extend experiments in Appendix.)
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.CL、cs.AI
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.CL、cs.MM