Bo Sun
Bo Sun
Research Scientist
Waymo
Email: bosun0711@gmail.com
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Research Interests:
World Model
3D Computer Vision
Generative Models
Autonomous Driving
Short Bio
Short Bio
I'm a research scientist at Waymo. I did my Ph.D in The University of Texas at Austin, under the supervision of Prof. Qixing Huang. Before that, I obtained my B.S. degree from Peking University(PKU) with a major of Physics in 2019.
My research focuses on GenAI, world models, and 3D computer vision. I have been working on auto-regressive world models, video diffusion models, 3D shape generation, and deformation. I also had rich experience in NeRF rendering and editing, and LiDAR-based recoginition in autonomous driving.
Publications
Publications
Bo Sun, Thibault Groueix, Chen Song, Qixing Huang and Noam Aigerman.
TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations
In CVPR 2024.
Bo Sun, Qixing Huang and Xiangru Huang.
Instance-aware 3D Semantic Segmentation Powered by Shape Generators and Classifiers.
Arxiv Preprint. (pdf)
Haitao Yang, Bo Sun, Liyan Chen, Amy Pavel, and Qixing Huang. GeoLatent: A Geometric Approach to Latent Space Design for Deformable Shape Generators.
In SIGGRAPH Asia 2023 (pdf).
Bo Sun, Vladimir(Vova) Kim, Qixing Huang, Noam Aigerman, and Siddhartha Chaudhuri
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation.
Bo Sun*, Xiangru Huang*, Qixing Huang*, Zaiwei Zhang, Junfeng Jiang, and Chandrajit Bajaj
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators
Zaiwei Zhang, Bo Sun*, Haitao Yang* and Qixing Huang
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
Bo Sun, Nian-hsuan Tsai, Fangchen Liu, Ronald Yu and Hao Su.
Adversarial Defense by Stratified Convolutional Sparse Coding.
Jinglu Wang, Bo Sun and Yan Lu.
MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image.
In AAAI 2019 (Oral) (pdf).
Education
Education
Ph.D. in computer science, UT Austin, 2019.8-2024.8 (expected)
B.S. in physics, Peking University, 2015.9-2019.7
Experiences
Experiences
Adobe; Research Intern; Mentors: Noam Aigerman, Thibault Groueix; May 2023-Aug.2023.
Amazon; Applied Scientist; Sept 2022-May.2023.
Adobe; Research Intern; Mentors: Vova Kim, Siddhartha Chaudhuri, Noam Aigerman; May 2021-Aug.2021.
Waymo; Research Intern; Mentors: Yuning Chai and Charles Qi; May 2020 - Nov. 2020
Offline map features in 3D object detection in autonomous driving.
UCSD CSE Department; Research Intern; Advisor: Hao Su; Jul. 2018-Sept. 2018.
Adversarial Defense by Stratified Convolutional Sparse Coding
Microsoft Research Asia; Research Intern; Advisor: Jinglu Wang; Jan. 2018-May 2018.
Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image
Institute of Modern Optics of Peking University; Research Intern; Advisor: Qiongyi He; Mar.2017-Jul.2017.
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