Weijie Lyu

I am a second 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  /  Semantic Scholar  /  GitHub  /  LinkedIn

profile photo
News

[Dec. 2024] Check out FaceLift, high-quality 360-degree head reconstruction from a single image.

[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.

Research Experience
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Adobe Research


Research Intern


May 2024 - Present

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University of California, Merced

Research Assistant


Aug. 2023 - Present

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University of Illinois, Urbana-Champaign

Research Assistant


Aug. 2021 - May 2023

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University of California, Berkeley

Undergraduate Researcher

Jan. 2020 - Aug. 2020

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ShanghaiTech University


Undergraduate Researcher

May 2020 - July 2021

Publications and Preprints
FaceLift: Single Image to 3D Head with View Generation and GS-LRM
Weijie Lyu, Yi Zhou, Ming-Hsuan Yang, Zhixin Shu
Under Review 2024
Project Page / arXiv / GitHub GitHub Stars
Gaga: Group Any Gaussians via 3D-aware Memory Bank
Weijie Lyu, Xueting Li, Abhijit Kundu, Yi-Hsuan Tsai, Ming-Hsuan Yang
Under Review 2024
Project Page / arXiv / GitHub GitHub Stars
PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection
Kuan-Chih Huang, Weijie Lyu, Ming-Hsuan Yang, Yi-Hsuan Tsai
CVPR 2024
arXiv / GitHub GitHub Stars
Continual Learning in Open-vocabulary Classification with Complementary Memory Systems
Zhen Zhu*, Weijie Lyu*, Yao Xiao, Derek Hoiem
TMLR 2024
arXiv / GitHub
Consistent Multimodal Generation via A Unified GAN Framework
Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem
WACV 2024
Paper / arXiv / GitHub
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
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 GitHub Stars
CircuitBot: Learning to Survive with Robotic Circuit Drawing
Xianglong Tan, Weijie Lyu, Andre Rosendo
PLOS ONE 2022
Paper
Academic Services

Conference Reviewer: CVPR, ICLR, NeurIPS, Eurographics, ACCV, etc.

Journal Reviewer: TPAMI, etc.

 

Updated Dec. 2024. Template from Jon Barron