Tong He
Staff Research Scientist @ Meta
About
Multimodal LLM, Reinforcement Learning, Computer Vision. Google Scholar: https://scholar.google.com/citations?user=v6o-fksAAAAJ&hl=en
United States
Los Angeles
Computer Software
-
Experience

Waymo Research, Senior Research Scientist
Mountain View, California, United States
Perception, E2E driving, multi-modality. - Gemini-based E2E self-driving with visual CoT reasoning (core contributor) - Temporal sensor fusion for 3D object detection & segmentation (tech lead)

UCLA Vision Lab, Research Assistant
Greater Los Angeles Area
Advisor: Stefano Soatto # Imitation Learning: driving policy learning by latent space distillation-based Squeeze-and-Mimic networks training. # 3D Object Detection: developed the state-of-the-art 3D vehicle detection system using only a single-view image. # Point Cloud Descriptor Learning: proposed a data-driven method for joint 3D keypoint detection and descriptor learning. # SLAM: designed a grid-based uniform feature tracker to reduce the trajectory drift of visual-inertial SLAM systems.

Facebook Reality Labs, Research Intern
Sausalito, California, United States
Mentor: Yuanlu Xu, Shunsuke Saito, Tony Tung # Animatable 3D Object Reconstruction: photorealistic and animatable reconstruction of clothed humans in both original and canonical poses, leveraging deep implicit functions and point-bashed human shape priors.

Adobe Research, Research Intern
San Jose, California
Mentor: Hailin Jin, John Collomosse # 3D Human Pose and Shape Modeling: improved the global mesh topology regularities and local surface details of single-view clothed human reconstruction. Such enhancements are achieved by a novel implicit function formulation built upon geometry and pixel aligned features.

Megvii Research USA (Face++), Research Intern
Greater Seattle Area
Mentor: Jue Wang, Haibin Huang # Point Cloud Analysis: proposed a novel deep learning method for point cloud geodesic topology estimation and utilized it to achieve the state-of-the-art performance on point upsampling, normal estimation and non-rigid shape classification.

UESTC Institute of Image Processing, Research Assistant
Chengdu, Sichuan, China
Advisor: Shuaicheng Liu, Bing Zeng # Video Stabilization: proposed a unified optimization method for joint video stitching and stabilization via image mesh warping and bundle path video stabilization; helped to transplant it into a plug-in of Adobe After Effects. # Medical Image 3D Reconstruction: built a system for endoscopic video 3D reconstruction by Shape-from-Shading (SfS) with deformable mesh smoothness constraint.
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