TY - GEN
T1 - HumVis
T2 - 31st ACM International Conference on Multimedia, MM 2023
AU - Wang, Dongkai
AU - Zhang, Shiliang
AU - Wang, Yaowei
AU - Tian, Yonghong
AU - Huang, Tiejun
AU - Gao, Wen
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/10/27
Y1 - 2023/10/27
N2 - Human-centric visual analysis is a fundamental task for many multimedia and computer vision applications, such as self-driving, multimedia retrieval, and augmented reality, etc. Based on our recent research efforts on fine-grained human visual analysis, we develop a robust and efficient human-centric visual analysis system named as HumVis. HumVis is built on a simple yet efficient contextual instance decoupling (CID) module, which can effectively separate different persons in an input image and output corresponding person structure information for visual analysis. Based on CID, HumVis achieves accurate multi-person pose estimation, multi-person foreground segmentation, multi-person part segmentation and 3D human mesh recovery for user-uploaded images/videos and support live stream presentation.
AB - Human-centric visual analysis is a fundamental task for many multimedia and computer vision applications, such as self-driving, multimedia retrieval, and augmented reality, etc. Based on our recent research efforts on fine-grained human visual analysis, we develop a robust and efficient human-centric visual analysis system named as HumVis. HumVis is built on a simple yet efficient contextual instance decoupling (CID) module, which can effectively separate different persons in an input image and output corresponding person structure information for visual analysis. Based on CID, HumVis achieves accurate multi-person pose estimation, multi-person foreground segmentation, multi-person part segmentation and 3D human mesh recovery for user-uploaded images/videos and support live stream presentation.
KW - 3d human mesh recovery
KW - multi-person part segmentation
KW - multi-person pose estimation
KW - multi-person segmentation
UR - https://www.scopus.com/pages/publications/85179553264
U2 - 10.1145/3581783.3612663
DO - 10.1145/3581783.3612663
M3 - 会议稿件
AN - SCOPUS:85179553264
T3 - MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia
SP - 9396
EP - 9398
BT - MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia
PB - Association for Computing Machinery, Inc
Y2 - 29 October 2023 through 3 November 2023
ER -