Bo Sun
Bo Sun
Ph.D. Student in Computer Science
UT Austin
Email: bosun@cs.utexas.edu
Embedded Files
Research Interests:
3D Computer Vision
Graphics
Generative Models
Autonomous Driving
Short Bio
Short Bio
I'm a Ph.D student at The University of Texas at Austin. I received my B.S. degree from Peking University(PKU) with a major of physics in 2019.
My research focuses on 3D computer vision and graphics. I have been working on 3D shape generation, completion and deformation. I also had rich experience in NeRF rendering and editing, and LiDAR-based recoginition in autonomous driving.
I'm looking for jobs starting from fall 2024. If you are interested, please drop me an email!
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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