Jun-Yan Zhu
Most Recent Affiliation(s):
- MIT, Computer Science and Artificial Intelligence Laboratory (CSAIL), Postdoctoral Researcher
Other Affiliation(s):
- Carnegie Mellon University, Assistant Professor
- UC Berkeley
Location:
- Cambridge, Massachusetts, United States of America
Bio:
Jun-Yan Zhu received his B.E in Computer Sciences from Tsinghua University in 2012. He obtained his Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley in 2017 supervised by Alexei Efros, after spending five years at CMU and UC Berkeley. His Ph.D. work was supported by a Facebook Fellowship. Jun-Yan is currently a postdoctoral researcher at MIT CSAIL.
Award(s):
- SIGGRAPH 2018 Outstanding Doctoral Dissertation Award: Zhu
- SIGGRAPH 2019 Real-Time Live! Audience Choice: Park, Liu, Wang and Zhu
Experience(s):
Learning Presentation(s):
Type: [Technical Papers]
Rewriting geometric rules of a GAN Presenter(s): [Wang] [Bau] [Zhu]
[SIGGRAPH 2022]
Type: [Courses]
Advances in Neural Rendering Organizer(s): [Tewari]
Presenter(s): [Sitzmann] [Fried] [Thies] [Xu] [Tretschk] [Mildenhall] [Pandey] [Orts-Escolano] [Fanello] [Guo] [Wetzstein] [Zhu] [Theobalt] [Agrawala] [Zollhöfer]
Entry No.: [01]
[SIGGRAPH 2021]
Type: [Technical Papers]
Semantic photo manipulation with a generative image prior Presenter(s): [Bau] [Strobelt] [Peebles] [Wulff] [Zhou] [Zhu] [Torralba]
[SIGGRAPH 2019]
Type: [Technical Papers]
Light field video capture using a learning-based hybrid imaging system Presenter(s): [Wang] [Zhu] [Kalantari] [Efros] [Ramamoorthi]
[SIGGRAPH 2017]
Role(s):
If you find errors or omissions on your profile page, please contact us: historyarchives@siggraph.org
Did you know you can send us a photo of yourself and a bio and we will post it? Make sure the photo is at least 1000 x 1000 and send it to the email above along with the bio and we will add it to your page.
