Yan Wang

PhD Student, Computer Science, Cornell University yw763@cornell.edu

Hi, I am Yan Wang, a second-year Ph.D. student in Computer Science Department of Cornell University, advised by Kilian Q. Weinberger, Bharath Hariharan and Mark Campbell. My research interests are Computer Vision and Machine Learning. I recieved my B.S. in Computer Science from Huazhong University of Sci. & Tech., advised by Kun He. Before joining Cornell, I was honored to have interned in Eric Chang's group at Microsoft Research Asia. (C.V.)

Update:

  • March, 2019    One paper on 3D Object Detection was accepted by CVPR2019.
  • February, 2019    One paper on Stereo Depth Estimation was accepted by ICRA2019.
  • January, 2019     I would intern at Facebook AI Research this summer.

Publication

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[project page] [video] Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.

Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019

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[project page] [video] [code] Anytime Stereo Image Depth Estimation on Mobile Devices.

Yan Wang*, Zihang Lai*, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark Campbell, Kilian Q. Weinberger

IEEE International Conference on Robotics and Automation (ICRA) 2019.

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[code] Resource Aware Person Re-identification across Multiple Resolutions.

Yan Wang*, Lequn Wang*, Yurong You*, Xu Zou, Vincent Chen, Serena Li, Bharath Hariharan, Gao Huang, Kilian Q. Weinberger

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018

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A Powerful Generative Model Using RandomWeights for the Deep Image Representation.

Kun He*, Yan Wang*, John E. Hopcroft*

Neural Information Processing Systems (NIPS) 2016

Preprint:

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Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking.

Brian H. Wang, Yan Wang, Kilian Q. Weinberger, Mark Campbell

arXiv Preprint (2018).

* denotes equal contribution.


Experience

Research Intern

Microsoft Research Asia, Advisor: Eric Chang, March 2017 - July 2017

Cornell University, Advisor: John E. Hopcroft, April 2016 - May 2016

Research Assistant

Kilian Q. Weinberger's Lab at Cornell University, Advisor: Kilian Q. Weinberger, September 2017 - Present

John E. Hopcroft Lab at HUST, Advisor: Kun He, July 2015 - June 2016

Services Computing Technology and System Lab at HUST, Advisor: Hai Jin, September 2014 - June 2015

Intelligent and Distributed Computing Lab at HUST, Advisor: Ruixuan Li, September 2013 - September 2014

Academic Service

Reviewer: NIPS-16, AAAI-18, ICRA-19, CVPR-19, ICML-19, TKDE-19, ICCV-19, NIPS-19

Teaching Assistant

CS 1112: Introduction to Computing using Matlab, February 2018 - June 2018

CS 4810: Introduction to Theory of Computing, September 2017 - December 2017


Education

Cornell University

Ph.D. student, Computer Science
August 2017 - June 2022

Huazhong University of science and technology

Bachelor of engineer, Computer Science
Student at ACM Elite Class, Overall GPA: 3.9/4.0
Advisor: Kun He
September 2012 - July 2016

Honors & Awards

  • Cornell Graduate Student Travel Grant (CVPR 2018)
  • NIPS Student Travel Grant (NIPS 2016)
  • Best Bachelor Dissertation Award in Hubei Province (2016)
  • National Scholarship of China (2015)
  • National Endeavor Scholarship of China (2013)