Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models
Comments CVPR 2025 camera-ready version
期刊&会议
Conference on Computer Vision and Pattern Recognition · 会议 · Computer Vision
Comments CVPR 2025 camera-ready version
Comments Accepted by CVPR 2025
Comments CVPR 2025
Comments Accepted by CVPR 2025
Comments CVPR 2025 - Project page: https://ditflow.github.io/
Comments Accepted by CVPR 2025
Comments 19 pages; First two authors contributed equally; Accepted at CVPR 2025
Comments CVPR 2024; updated NExT-GQA results in Appendix
Comments 14 pages, 6 figures; Accepted by CVPR 2025
Comments Accepted by CVPR 2025
Journal ref Published in CVPR 2025
Comments CVPR 2025
Comments Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025
Comments Accepted to CVPR 2025, Mistakenly submitted as a replacement for arXiv:2402.11057
Comments IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025
Comments Accepted to CVPR 2025
Comments Accepted to CVPR 2025, add references
Comments CVPR 2025, Project Page https://rolpotamias.github.io/WiLoR
Comments Accepted to CVPR 2025
Comments CVPR 2025, Project page: https://by-luckk.github.io/PhysGen3D
Comments CVPR 2025; Project Page: https://foundation-model-research.github.io/difflens
Comments Accepted to CVPR 2025
Comments This paper has been accepted to CVPR 2025
Comments The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025
Comments CVPR 2025.Project website: https://lalalfhdh.github.io/rog_page/
Comments Accepted into the proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) for 2025. Link to code and dataset is https://gitlab.kitware.com/nest-public/kw_ebs_star_tracking#
Comments Accepted at CVPR 2025
Comments 15 pages, 12 figures and 3 tables; project page: https://4dqv.mpiinf.mpg.de/ThinShellSfT; CVPR 2025
Comments Accepted to CVPR 2025. Project page: https://kumapowerliu.github.io/AvatarArtist
Comments To appear in CVPR 2025. Code and data is available at https://github.com/aaronserianni/attention-iou . 15 pages, 14 figures, including appendix