Yan Xu

PhD
Carnegie Mellon University
E-mail: yanxxx@google.com

About Me

Hi! My name is Yan Xu. I am a software engineer at Waymo working on 3D object detection for autonomous driving scenarios. My job includes 3D detection model development, training, evaluation, and deployment onto autonomous driving vehicles. Before joining Waymo, I obtained my Ph.D. from Carnegie Mellon University where I was working on Computer Vision with \href{http://www.cs.cmu.edu/~kkitani/}{\underline{Prof. Kris Kitani}}. My research focus was multi-view multi-person 3D human pose estimation. Specifically, I have been working on using deep learning and geometry tools to develop 3D human pose estimation methods that does not require manual 3D training label annotation and can work beyond laboratory settings with calibrated camera networks. Thank you for your time and interests! Please find more about my work in the project and publication sections.

News

Research

Person Matching and 3D Pose Estimation from Multiple Uncalibrated Cameras

Under review

Multi-View Multi-Person 3D Pose Estimation with Uncalibrated Camera Networks

Xu, Yan, Kris Kitani.

BMVC 2022

[Project][Paper][Code]
Visio-Temporal Attention for Multi-Camera Multi-Target Association

Li, Yu-Jhe, Xinshuo Weng, Yan Xu, Kris Kitani.

ICCV 2021

[Paper][Code]
Wide-Baseline Multi-Camera Calibration using Person Re-Identification

Yan Xu Yu-Jhe Li, Xinshuo Weng, Kris Kitani.

CVPR 2021

[Paper][Code]
Few-Shot Learning with Intra-Class Knowledge Transfer

Yan Xu* Vivek Roy*, Yu-Xiong Wang, Kris Kitani, Ruslan Salakhutdinov, Martial Hebert.

Arxiv preprint 2020

[Paper][Code]
Estimating 3D Camera Pose from 2D Pedestrian Trajectories

Yan Xu, Vivek Roy and Kris Kitani

WACV 2020

[Paper][Code][Video]
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learnin

Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen, Kris M. Kitani

AAMAS 2018

[Paper]
Optimizing Quantiles in Preference-based Markov Decision Processes

Hugo Gilbert, Paul Weng and Yan Xu

AAAI 2017

[Paper]

Teaching

Fall 2022: 16720 - Computer Vision Capstone, given by Prof. Ioannis Gkioulekas

Fall 2021: 16720 - Computer Vision Capstone, given by Prof. Kris Kitani

Fall 2019: 18793 - Image and Video Processing, given by Prof. Aswin Sankaranarayanani

Fall 2018: 16622 - Master of Science in Computer Vision Capstone, given by Prof. Kris Kitani

Fall 2016: 18660 - Neumerical Methods for Engineering Designing and Optimization, given by Prof. Xin Li

Work