Yuchen Wang

Yuchen Wang

Update

  • Feb 2022: Our DoTA work accepted by T-PAMI 2022, Our SGNet work accepted by RA-L 2022 and presented on ICRA 2022.
  • Oct 2021: The Ego4D dataset which was my honor to participant just released. [paper],[project]
  • Aug 2021: Join Baidu USA Apollo team as an internship to solve planning problem in self-driving.
  • Research

    I am a fifth-year Ph.D. student of School of Informatics, Computing, and Engineering at Indiana University. I was advised by Prof. David Crandall since January 2018. I received my Master's degree in Computer Science from Indiana University and my Bachelor's degree in Software Engineering from Tongji University. I am interested in computer vision research area.

    Publication

    Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Yuchen Wang, Ella Atkins, and David Crandall, "DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos." [paper]
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

    Yuchen Wang*, Chuhua Wang*, Mingze Xu, David J Crandall, "Stepwise Goal-Driven Networks for Trajectory Prediction"[paper]
    IEEE Robotics and Automation Letters (RA-L), 2022 with ICRA 2022.
    3rd on nuScences prediction task at 6th AI Driving Olympics, ICRA 2021.

    Yuchen Wang, Mingze Xu, John Paden, Lora Koenig, Geoffrey Fox, David J Crandall, "Deep Tiered Image Segmentation for Detecting Internal Ice Layers in Radar Imagery" IEEE International Conference on Multimedia and Expo (ICME), 2021 (Oral).[paper]

    Yu Yao, Mingze Xu, Yuchen Wang, David J Crandall, Ella M Atkins, "Unsupervised Traffic Accident Detection in First-Person Videos" International Conference on Intelligent Robots and Systems(IROS), 2019.[paper]

    Mingze Xu, Chenyou Fan, Yuchen Wang, Michael Ryoo, and David Crandall, "Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos" European Conference on Computer Vision(ECCV), 2018.[paper]

    Education

    Indiana University Bloomington(08/2017-present)
    Doctor of Philosophy in Intelligent Systems Engineering

    Indiana University Bloomington(08/2015-05/2017)
    Master of Science in Computer Science

    Tongji University(09/2007-06/2011)
    Bachelor in Software Engineering

    Teaching

  • Associate Instructor:FA16 CSCI B561 Advanced Database Concepts
  • Associate Instructor:SP17 CSCI P536 Advanced Operating Systems
  • Associate Instructor:FA17 ISE E101 Innovation and Design
  • Associate Instructor:SP18 ISE E599 Topics in Intelligent Systems Engineering(Advanced Operating Systems)
  • Associate Instructor:FA18 ISE E599 Topics in Intelligent Systems Engineering(Advanced Operating Systems)