Scholar
Yu Liu
Google Scholar ID: g_gMjsYAAAAJ
Research Scientist, Bytedance AI Lab
Citations & Impact
Citations
1,107
H-index
14
i10-index
16
Publications
20
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications and awards are not detailed, but his doctoral thesis received the Dean’s Commendation for Doctoral Thesis Excellence.
Research Experience
- During his Ph.D., he was affiliated with the Australian Centre for Robotic Vision (ACRV) and the Australian Institute for Machine Learning (AIML), collaborating with Dr. Hamid Rezatofighi, Dr. Anton Milan, and Dr. Thanh-Toan Do on multi-object detection, tracking, and instance segmentation. In August 2019, he joined the ETH ASL, led by Prof. Roland Siegwart, focusing on using synthetic data for real image segmentation, semantic scene completion, and various applications for drone perception. Previously, as a master's student, he had worked under the supervision of Prof. Paul Debevec at the USC ICT Graphics Lab, gaining experience in Lightstage-based 3D reconstruction.
Education
- Ph.D. from the University of Adelaide and ETH Zurich, supervised by Prof. Ian Reid, Dr. Lingqiao Liu, and Dr. Cesar Cadena; Master's degree from Zhejiang University, State Key Lab of CAD&CG, co-supervised by Prof. Guofeng Zhang and Prof. Hujun Bao; Bachelor's degree in Software Engineering from Southwest University.
Background
- A Research Scientist at ByteDance AI Lab. His research mainly focuses on combining Deep Learning to solve Computer Vision problems.
Miscellany
- Personal interests and hobbies are not explicitly mentioned.
Co-authors