MetaCLUE: Towards Comprehensive Visual Metaphors Research
Comments Accepted in CVPR 2023. Project page: https://metaclue.github.io/ , Video summary: https://youtu.be/V3TmeNETL-o
期刊&会议
Conference on Computer Vision and Pattern Recognition · 会议 · Computer Vision
Comments Accepted in CVPR 2023. Project page: https://metaclue.github.io/ , Video summary: https://youtu.be/V3TmeNETL-o
Comments CVPR 2023. Project page: https://sites.google.com/view/b-kind/3d Code: https://github.com/neuroethology/BKinD-3D
Comments Accepted to CVPR 2023. Project page: https://stevenlsw.github.io/reart
Comments In CVPR 2023. Project page: https://objectfolder.stanford.edu/. ObjectFolder Real demo: https://www.objectfolder.org/swan_vis/. Gao, Dou, and Li contributed equally to this work
Comments CVPR 2023 proceeding
Comments 5 pages, 9 figures, AI4CC Workshop at CVPR 2023
Comments CVPR 2023
Comments Accepted by CVPR 2023
Comments Accepted for CVPR 2023
Comments Published in CVPR 2023 as Highlight. Data and code are released at https://github.com/Lizw14/Super-CLEVR
Comments CVPR'23; the first two authors contributed equally; code is available at https://github.com/tsujuifu/pytorch_empirical-mvm
Comments CVPR 2023. Code will be released at https://github.com/csyxwei/iPOSE
Comments CVPR 2023 (Highlighted Paper). Website: https://imagebind.metademolab.com/ Code/Models: https://github.com/facebookresearch/ImageBind
Comments Accepted by CVPR 2023
Comments Accepted by AI for Content Creation (AI4CC) workshop at CVPR 2023
Journal ref CVPR 2023
Comments CVPR 2023. Code/models: https://github.com/facebookresearch/omnivore
Comments 5 pages, 3 figures, CVPR 2023 Workshop on AI for Content Creation
Comments 10 pages, 6 figures, Best Paper submission for CVPR 2023 workshop EARTHVISION 2023
Comments Accpected by CVPR 2023
Comments Accepted at AI4CC Workshop at CVPR 2023
Comments CVPR 2023. Project page: https://mobile-nerf.github.io, code: https://github.com/google-research/jax3d/tree/main/jax3d/projects/mobilenerf
Comments CVPR Workshop Paper v3: Fix some description errors
Comments Accepted by CVPR 2023. Code is available at https://github.com/RenHuan1999/CVPR2023_P-MIL
Comments Accepted to CVPR 2023
Comments Paper was accepted to CVPR 2023
Comments Accepted as CVPR 2023 Highlight (Top 10% of all acceptance)
Comments CVPR 2023. Project link: https://simpson-cvpr23.github.io
Comments Accepted to the AI for Content Creation Workshop at CVPR 2023
Comments Accepted to IEEE/CVF CVPR 2023. Code will be released post conference in July 2023. Avinab Saha & Sandeep Mishra contributed equally to this work