07/2023: [New] One paper accepted to ICCV 2023!
06/2023: [New] Serve as Area Chair for CVPR 2024.
05/2023: [New] Serve as Area Chair for WACV 2024.
11/2022: After a wonderful time at Amazon, I joined Cruise and worked on AV perception.
09/2022: One paper accepted to NeurIPS 2022!
05/2022: Serve as Area Chair for WACV 2023.
03/2022: Three papers accepted to CVPR 2022 as Oral!
01/2022: One paper accepted to T-PAMI 2022!
01/2022: One paper accepted to RA-L 2022!
Hi, I am Mingze. I am a Senior Applied Research Scientist II at Cruise. Before joining Cruise, I also worked or interned at AWS AI Labs, Microsoft Research, and Honda Research Institute.
I received my Ph.D. degree in Computer Science from Indiana University, advised by Prof. David Crandall in 2020. I was a visiting student researcher at Georgia Institute of Technology, working with Prof. Dhruv Batra and Prof. Devi Parikh, in 2018. Before that, I received my Master's degree in Computer Science from Indiana University and my Bachelor's degree in Software Engineering from Jilin University.
My research interests lie primarily in the area of computer vision and deep learning, and my current focus is on learning representations from large-scale multi-source data and transferring knowledge across domains. In particular, my ongoing projects consider the following applications:
Action and activity recognition
First-person (egocentric) vision
Person tracking and re-identification
Open world recognition
(*Equal Contribution, †Corresponding Author)
SkeleTR: Towards Skeleton-based Action Recognition in the Wild
Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo
IEEE International Conference on Computer Vision (ICCV), 2023
An In-depth Study of Stochastic Backpropagation
Jun Fang, Mingze Xu†, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe
Conference on Neural Information Processing Systems (NeurIPS), 2022
MeMOT: Multi-Object Tracking with Memory
Jiarui Cai, Mingze Xu†, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)
Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models
Feng Cheng, Mingze Xu†, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Li, Wei Xia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)
TubeR: Tubelet Transformer for Video Action Detection
Jiaojiao Zhao*, Yanyi Zhang*, Xinyu Li*, Hao Chen, Shuai Bing, Mingze Xu, Chunhui Liu, Kaustav Kundu, Yuanjun Xiong, Davide Modolo, Ivan Marsic, Cees Snoek, Joseph Tighe
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)
DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos
Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Yuchen Wang, Ella Atkins, David Crandall
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022
Stepwise Goal-Driven Networks for Trajectory Prediction
Chuhua Wang*, Yuchen Wang*, Mingze Xu, David Crandall
IEEE Robotics and Automation Letters (RA-L), 2022
Long Short-Term Transformer for Online Action Detection
Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto
Conference on Neural Information Processing Systems (NeurIPS), 2021 (Spotlight)
Learning Self-Consistency for Deepfake Detection
Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia
IEEE International Conference on Computer Vision (ICCV), 2021 (Oral)
Temporal Recurrent Networks for Online Action Detection
Mingze Xu*, Mingfei Gao*, Yi-Ting Chen, Larry Davis, David Crandall
IEEE International Conference on Computer Vision (ICCV), 2019
StartNet: Online Detection of Action Start in Untrimmed Videos
Mingfei Gao, Mingze Xu, Larry Davis, Richard Socher, Caiming Xiong
IEEE International Conference on Computer Vision (ICCV), 2019
Embodied Amodal Recognition: Learning to Move to Perceive Objects
Jianwei Yang*, Zhile Ren*, Mingze Xu, Xinlei Chen, David Crandall, Devi Parikh, Dhruv Batra
IEEE International Conference on Computer Vision (ICCV), 2019
Unsupervised Traffic Accident Detection in First-Person Videos
Mingze Xu*, Yu Yao*, Yuchen Wang, David Crandall, Ella Atkins
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems
Yu Yao, Mingze Xu, Chiho Choi, David Crandall, Ella Atkins, Behzad Dariush
IEEE International Conference on Robotics and Automation (ICRA), 2019
Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos
Mingze Xu, Chenyou Fan, Yuchen Wang, Michael Ryoo, David Crandall
European Conference on Computer Vision (ECCV), 2018
Last update: 10/01/2023