no code implementations • CVPR 2022 • Xueyi Liu, Xiaomeng Xu, Anyi Rao, Chuang Gan, Li Yi
To solve the above issues, we propose AutoGPart, a generic method enabling training generalizable 3D part segmentation networks with the task prior considered.
no code implementations • 10 Dec 2021 • Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin
Neural Radiance Field (NeRF) has achieved outstanding performance in modeling 3D objects and controlled scenes, usually under a single scale.
no code implementations • ICCV 2021 • Linning Xu, Yuanbo Xiangli, Anyi Rao, Nanxuan Zhao, Bo Dai, Ziwei Liu, Dahua Lin
City modeling is the foundation for computational urban planning, navigation, and entertainment.
no code implementations • ECCV 2020 • Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Jiangtao Wen, Dahua Lin
The task of searching certain people in videos has seen increasing potential in real-world applications, such as video organization and editing.
no code implementations • ECCV 2020 • Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, Dahua Lin
Shots are key narrative elements of various videos, e. g. movies, TV series, and user-generated videos that are thriving over the Internet.
no code implementations • ECCV 2020 • Qingqiu Huang, Yu Xiong, Anyi Rao, Jiaze Wang, Dahua Lin
We believe that such a holistic dataset would promote the researches on story-based long video understanding and beyond.
3 code implementations • CVPR 2020 • Anyi Rao, Linning Xu, Yu Xiong, Guodong Xu, Qingqiu Huang, Bolei Zhou, Dahua Lin
Scene, as the crucial unit of storytelling in movies, contains complex activities of actors and their interactions in a physical environment.
1 code implementation • 24 Mar 2018 • Anyi Rao, Francis Lau
The computer musician is able to produce musical accompaniment that relates musically to the human performance.
Sound Multimedia Audio and Speech Processing
2 code implementations • ACL 2018 • Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou
We propose an efficient method to generate white-box adversarial examples to trick a character-level neural classifier.