|
I am a first year EECS Ph.D. student at University of California, Merced, advised by Prof. Ming-Hsuan Yang. I obtained my Master of Science in Computer Science degree from University of Illinois at Urbana-Champaign, advised by Prof. Derek Hoiem. I was also fortunate to work with Prof. Bo Li. I obtained my Bachelor of Engineering degree from ShanghaiTech University, majoring in Computer Science and Technology. I spent my junior year as a visiting student and undergraduate researcher at University of California, Berkeley. Email / CV / Google Scholar / GitHub / LinkedIn |
|
|
[May 2024] Join Adobe Research as a research intern. [Apr. 2024] Check out Gaga, our method on 3D open-world segmentation with Gaussian Splatting. [Feb. 2024] PTT is accepted by CVPR 2024. See you in Seattle! [Aug. 2023] Start my Ph.D. study at University of California, Merced. |
|
My research interests mainly lie in Computer Vision and Machine Learning. The goal of my research is to explore how AI perceives the world and how to enhance this ability, drawing inspiration from human intelligence. I am currently focused on 3D Novel View Synthesis via Gaussian Splatting. Previously, I have worked on Continual Learning, Autonomous Driving, Image Generation, Robotics, etc. |
|
|
|
Weijie Lyu, Xueting Li, Abhijit Kundu, Yi-Hsuan Tsai, Ming-Hsuan Yang Under Review 2024 Project Page / arXiv / GitHub |
 |
Kuan-Chih Huang, Weijie Lyu, Ming-Hsuan Yang, Yi-Hsuan Tsai CVPR 2024 arXiv / GitHub |
 |
Zhen Zhu*, Weijie Lyu*, Yao Xiao, Derek Hoiem Under Review 2024 arXiv / GitHub |
 |
Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem WACV 2024 Paper / arXiv / GitHub |
 |
Chejian Xu*, Wenhao Ding*, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li NeurIPS 2022 Project Page / Paper / arXiv / Poster / GitHub |
 |
Xianglong Tan, Weijie Lyu, Andre Rosendo PLOS ONE 2022 Paper |
|
|
 |
 |
 |
|
Updated Apr. 2024. Template from Jon Barron |