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