Beijia Lu

Hi there! I am a Master's student in Computer Vision (MSCV) at CMU Robotics Institute, supervised by Prof. Jun-Yan Zhu. I am broadly interested in 3D vision and robot learning, especially realistic 3D content generation using physical and neural representations.

Prior to this, I graduated from Department of Mathematics, City University of Hong Kong. I am honored to be advised by Prof. Alan Yuille, Prof. Mike Z. Shou, Prof. Ziwei Liu, Dr. Yuan Liu.

Email  /  Linkedin  /  Github /  CV

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Publications



SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild
Pengfei Wang*, Xiaofei Hui*, Jing Wu*, Zile Yang*, Kian Eng Ong*, Xinge Zhao, Beijia Lu, Dezhao Huang, Evan Ling, Weiling Chen, Keng Teck Ma, Minhoe Hur, Jun Liu
ECCV, 2024
Project Page

ColonNeRF: Hierarchical Neural Radiance Fields for High-Fidelity Long-Sequence Colon Reconstruction
Yufei Shi*, Beijia Lu*, Jia-Wei Liu, Ming Li, Mike Zheng Shou
Submitted to IEEE Trans. Medical Imaging
arXiv / Project Page

Adding 3D Geometry Control to Diffusion Models
Wufei Ma*, Qihao Liu*, Jiahao Wang*, Xiaoding Yuan, Angtian Wang, Yi Zhang, Zihao Xiao, Guofeng Zhang, Beijia Lu, Ruxiao Duan, Yongrui Qi, Adam Kortylewski, Yaoyao Liu, Alan Yuille
ICLR (Spotlight), 2024
arXiv / Project Page

Left-right Discrepancy for Adversarial Attack on Stereo Networks
Pengfei Wang, Xiaofei Hui, Beijia Lu, Nimrod Lilith, Jun Liu, Sameer Alam
arXiv
arXiv


Thank Jon Barron for sharing his website's source code.