Xiaolong Li
I am a Senior Applied Research Scientist at Nvidia TAO team. My mission is to build 3D into AI foundations, with current focus on grounding 3D-VLMs into Embodied AI domain. Previously I was an Applied Scientist in Amazon AGI, working on 3D vision problems and diffusion-based video generation. I obtained Ph.D. in computer engineering at Virginia Tech, advised by Prof. A. Lynn Abbott, with research focused on deep 3D representations learning for dynamic scene understanding. I’m interested in AR/VR, Embodied AI, robotics.
During the summer 2019, I am lucky to work with Prof. Shuran Song(now Stanford University), Dr. He Wang(now Peking University), Dr. Li Yi (Google Research, now Tsinghua University), and Johnny Chung Lee(Google Brain Robotics) as a student ML researcher in Google Brain Robotics, Mountain View; in 2020 spring, I did a research internship on 3D perception in MERL, mentored by Prof. Siheng Chen(now Shanghai Jiaotong University), Dr. Alan Sullivan(MERL); in 2021 summer, I worked with Dr. Ishani Chakraborty(Hololens), Dr. Yale Song(MSR), Dr. Bugra Tekin(Hololens) in a research internship. I have also worked with Prof. Yunhui Zhu(VT 3D Optics Group) on X-ray phase imaging.
News
May 16, 2023 | Named as Outstanding Reviewer for CVPR 2023 |
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Jun 27, 2022 | Joined AWS AI as an applied scientist working on 3D Vision! |
Sep 28, 2021 | My first submission to NeurIPS 2021 accepted, check paper here! |
May 17, 2021 | Starting my research internship in Hololens, Microsoft |
Sep 21, 2020 | Our method ranked 3rd on SemanticKitti Multi-sweep Semantic Segmentation Challenge! |
Mar 13, 2020 | One paper accepted to CVPR 2020 as Oral presentation! |
Education
PhD Student
Aug. 2016-present
Bachelor Degree
Aug. 2012- June 2016
Industry
Applied Scientist
Summer 2022-Present
Research Intern
Summer 2021
Research Intern
Spring 2020
Student Researcher
Summer 2019
Research Intern
Summer 2018
Publications
- In Proceedings of the AAAI Conference on Artificial Intelligence 2023
- In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022
SERVICES
I am a reviewer in JEI, TIP, ICCV 2021, ICLR 2022, CVPR 2022, CVPR 2023, ICML 2023, NeurIPS 2023, 3DV 2023, 3DV 2024.