蘇仕揚 Shih-Yang Su
I finished my Ph.D. in Computer Science at the University of British Columbia, where I worked with Prof. Helge Rhodin on the topics of Human Motion Learning, Character Control and Animation, and 3D Vision.
I am fortunate to have opportunities to work with Dr. Michael Zollhöfer and Dr. Timur Bagautdinov at Meta Reality Labs, Prof. Jia-Bin Huang at the University of Maryland, College Park, Dr. Hossein Hajimirsadeghi at Borealis AI, Prof. Chun-Yi Lee and Prof. Shang-Hong Lai at National Tsing Hua University, Dr. Yi-Hsuang Yang and Dr. Li Su at Academia Sinica.
Project pages
NPC: Neural Point Characters from Video (ICCV 2023)
DANBO: Disentangled Articulated Neural Body Representations (ECCV 2022)
A-NeRF: articulated radiance fields (NeurIPS 2021)
3D Photography (CVPR 2020)
8 Bit converter (ICASSP 2017)
DANBO: Disentangled Articulated Neural Body Representations (ECCV 2022)
A-NeRF: articulated radiance fields (NeurIPS 2021)
3D Photography (CVPR 2020)
8 Bit converter (ICASSP 2017)
Publications
DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks
ECCV 2022
[Paper] [Project Page]
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
NeurIPS 2021
[Paper] [Project Page]
3D Photography using context-aware layered depth inpainting
CVPR 2020
[Paper] [Project Page]Thumbnail credit: uso_otter
Graph generation with variational recurrent neural network
NeurIPS 2019 Graph Representation Learning Workshop
[Paper]
Automatic conversion of pop music into chiptunes for 8-bit pixel art
ICASSP 2017
[Paper] [Project Page]News
2024/02 - Defended my Ph.D. dissertation!
2023/07 - Our point-based human avatar approach is accepted to ICCV 2023!
2023/04 - I am now a Ph.D. candidate!
2022/07 - Our surface-free robust human avatar approach is accepted to ECCV 2022!
2021/10 - We have updated the A-NeRF on arXiv to the NeurIPS version.
2021/09 - Our surface-free human body modeling approach is accepted to NeurIPS 2021!
2021/03 - Submitted my reviews for ICML 2021
2020/09 - Reviewing for ICLR 2021.
2020/09 - Now a Ph.D. student in Computer Science at the University of British Columbia.
2020/05 - Got my M.Sc. degree in Computer Engineering.
2020/04 - I will serve as a reviewer for NeurIPS 2020.
2020/02 - Our paper on 3D Photograph is accepted to CVPR 2020!
2019/10 - Our paper on graph generation is accepted to NeurIPS 2019 GRL Workshop!
2019/05 - Start my internship at Borealis.ai Vancouver!
2019/04 - I will serve as a reviewer for NeurIPS 2019.
2018/11 - I am one of the student volunteers in NeurIPS 2018. Come and say hello!
2018/09 - Our paper on RL exploration strategy is accepted to NeurIPS 2018!
2018/08 - Finished my military service!
2018/04 - Start my military service.
2018/04 - Our paper on virtual-to-real reinforcement learning is accepted to IJCAI 2018!
2018/01 - Our paper on multi-agent learning is accepted to AAMAS 2018!
2023/07 - Our point-based human avatar approach is accepted to ICCV 2023!
2023/04 - I am now a Ph.D. candidate!
2022/07 - Our surface-free robust human avatar approach is accepted to ECCV 2022!
2021/10 - We have updated the A-NeRF on arXiv to the NeurIPS version.
2021/09 - Our surface-free human body modeling approach is accepted to NeurIPS 2021!
2021/03 - Submitted my reviews for ICML 2021
2020/09 - Reviewing for ICLR 2021.
2020/09 - Now a Ph.D. student in Computer Science at the University of British Columbia.
2020/05 - Got my M.Sc. degree in Computer Engineering.
2020/04 - I will serve as a reviewer for NeurIPS 2020.
2020/02 - Our paper on 3D Photograph is accepted to CVPR 2020!
2019/10 - Our paper on graph generation is accepted to NeurIPS 2019 GRL Workshop!
2019/05 - Start my internship at Borealis.ai Vancouver!
2019/04 - I will serve as a reviewer for NeurIPS 2019.
2018/11 - I am one of the student volunteers in NeurIPS 2018. Come and say hello!
2018/09 - Our paper on RL exploration strategy is accepted to NeurIPS 2018!
2018/08 - Finished my military service!
2018/04 - Start my military service.
2018/04 - Our paper on virtual-to-real reinforcement learning is accepted to IJCAI 2018!
2018/01 - Our paper on multi-agent learning is accepted to AAMAS 2018!