Yizhou Wang is currently a Ph.D. Candidate in ECE at University of Washington, interested in Computer Vision, Autonomous Driving, and Deep Learning. At UW, he is a research assistant at IPL advised by Prof. Jenq-Neng Hwang. He was a Research Intern at Microsoft in summer 2021, advised by Muscle Wu, Qin Cai, and Zeyu Chen. He received my M.S. Degree in EE at Columbia University in 2018. At Columbia, he was a member of DVMM Lab, advised by Prof. Shih-Fu Chang and Liangliang Cao.

Curriculum Vitae Google Scholar

What's New?

01/01/2022 ROD2021 evaluation server is reopened. Welcome to submit your results! [Evaluation Server]

11/17/2021 ROD2021 Challenge Session @ ACM ICMR 2021. [Challenge Summary Paper]

06/20/2021 Our work is presented in the Workshop on Autonomous Driving (WAD) at CVPR 2021. [Paper] [Spotlight] [Poster] [WAD Full Video]

03/04/2021 Ph.D. General Exam passed.

02/06/2021 The extended journal version of the RODNet paper is accepted by IEEE J-STSP. [Early Access] [ArXiv]

12/20/2020 We are organizing the ROD2021 Challenge at ACM ICMR 2021. Welcome to partipate! [Website] [Poster]

11/01/2020 Our paper about Radar Object Detection (RODNet) is accepted by WACV 2021. [PDF] [CODE] [DATASET]

08/26/2020 Our paper about Multi-Target Multi-Camera Tracking of Vehicles (MTMCT) is accepted as Oral by ACM MultiMedia 2020. [PDF]

06/11/2020 We get the winner of Track 3 (multi-object tracking and segmentation in KITTI-MOTS and MOTS20 dataset with public detection) and the runner-up of Track 2 (multi-object detection, tracking and segmentation in KITTI-MOTS dataset) in the 5th BMTT Challenge at CVPR 2020. [More]

10/21/2019 Our papers Obj3DLoc (Long Oral) and TNT (Short Oral) are accepted by ACM MultiMedia 2019.

06/14/2018 I start my Ph.D. at University of Washington, advised by Prof. Jenq-Neng Hwang at Information Processing Lab (IPL).

03/05/2018 I start being a full-time Software Engineer at HelloVera.AI, working with James Fan and Liangliang Cao.

09/28/2017 Our CDC demo website entitled Temporal Action Localization in Videos is presented at NYC Media Lab 2017, The New School.

01/09/2017 I start TA for E6894 Deep Learning for Computer Vision, Speech, and Language, instructed by Liangliang Cao, Xiaodong Cui and Kapil Thadani.

01/09/2017 I start my research work at DVMM Lab, Columbia University, advised by Prof. Shih-Fu Chang.

12/19/2016 I start my winter intern at Ngineered Studio, focusing on Face Recognition Anti-Spoofing.

08/29/2016 I start Graduate study at Columbia University in the City of New York.