My passion is about solving problems of 3D Computer Vision and Image Understanding, building impressive applications sensing the real world. I have good experience in augmented reality, Visual Odometry, and visual SLAM techniques.

Experience

2022 — NowCyngnSenior Software Engineer, Autonomy - Localization & Mapping

2022 — Now

Menlo Park, California, United States

2019 — 2022TrifoR&D Engineer

2019 — 2022

Perception Team

SLAM for home robot vacuum

Indoor Semantic Mapping

Depth data based indoor obstacle detection.

2018 — 2018Baidu Inc.R&D Engineer Intern, Augmented Reality

2018 — 2018

AR Lab of Baidu AI Group.

Researched and developed 3D model localization and tracking prototype with the moving edge method. Applied a particle filter model during tracking and a simulated annealing step during initialization. Integrated with other methods as 3D model tracking and pose estimation module for our AR SDK.

Using ARKit API, developed an iOS client tool collecting and sending ARKit tracking data with Protobuf for our Visual Positioning System experiments.

2016 — 2017OppenFuture TechnologiesComputer Vision Engineer, Augmented Reality

2016 — 2017

Beijing City, China

Developed mobile Mixed Reality engine and visual odometry system. Responded for 2D target detecting and tracking module. With given image template, selected feature based 2d-2d correspondence during initialization and solved the optimized camera pose. During the tracking step, applied the Optical Flow method to track key points and updated poses with the nonlinear optimizer. The re-projection error is used as the metrics threshold for entering re-initialization.

Launched iOS AR game MuzzBloc. With CNN model, detected and classified objects in the already segmented image bounding boxes. Used features correspondence with image template for target localization and tracking.

Demo: https://www.muzzbloc.com/

2015 — 2016Institute of Software, Chinese Academy of SciencesIntern Research Assistant

2015 — 2016

Beijing, China

Researched adaptive sampling and reconstruction problems in Monte Carlo rendering in Computer Graphics.

Presented a novel method sampling ray adaptively utilizing spatial and material features of the scene. Developed these work into my bachelor thesis.

Education

UC Irvine

Master of Science - MS

Beijing University of Posts and Telecommunications

Bachelor of Engineering - BE

The Attached Middle School of Jiangxi Normal University