I’m currently a final-year PhD candidate in the Department of Computer Science and Engineering at The State University of New York at Buffalo (UB), working with Prof. David Doermann. Before joining UB, I obtained my MS and BS degrees (both with honors)) from Huazhong University of Science and Technology (HUST), supervised by Prof. Zhiguo Cao.
Research Interests: Video Understanding, Human Motion Prediction, Action Recognition; Multi-modal Learning, Time Series Modeling, Sequence Generation
I am on the job market for positions in Fall 2023.
🔥 News
- [2023.02] One paper on Continual Learning accepted by CVPR 2023.
- [2023.01] I successfully defended my dissertation proposal.
- [2022.07] One paper on Human Action Recognition accepted by Neurocomputing.
- [2022.06] One paper on Human Motion Prediction accepted by IROS 2022 and IEEE Robotics and Automation Letters.
- [2022.02] I joined XPENG Motors as a Research Intern working with Dr. Chen Bai and Dr. Cheng Lu.
- [2021.05] I joined OPPO US Research Center as a Research Intern working with Dr. Zhong Li and Dr. Yi Xu.
- [2021.01] One paper on Sign Language Recognition accepted by IMWUT 2021.
- [2020.10] One paper on Human Action Prediction accepted by ICPR 2020.
- [2020.04] One paper on Neural Architecture Search accepted by IJCAI 2020.
- [2019.05] I joined Fuji Xerox Palo Alto Lab (FXPAL) as a Research Intern working with Dr. Yanxia Zhang and Dr. Qiong Liu.
- [2018.10] One paper on Human Action Prediction accepted by ICIP 2018.
Selected Publications
UniMotion: Unified Human Motion Prediction Machine for 2D and 3D Poses
Yanjun Zhu et al.
PIMNet: Physics-infused Neural Network for Human Motion Prediction
Zhibo Zhang*, Yanjun Zhu*, Rahul Rai, and David Doermann
IEEE Robotics and Automation Letters, 7, No.4(2022): 8949-8955. IROS, 2022. (Oral)
(* equal contribution)
PB-GCN: Progressive Binary Graph Convolutional Networks for Skeleton-based Action Recognition
Mengyi Zhao, Shuling Dai, Yanjun Zhu, Hao Tang, Pan Xie, Yue Li, Chunlei Liu, and Baochang Zhang
Neurocomputing 501 (2022): 640-649.
SonicASL: An Acoustic-based Sign Language Gesture Recognizer using Earphones
Yincheng Jin, Yang Gao, Yanjun Zhu, Wei Wang, Jiyang Li, Seokmin Choi, Zhangyu Li, Jagmohan Chauhan, Anind K. Dey, and Zhanpeng Jin
ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 5, no. 2 (2021): 1-30.
What and How? Jointly Forecasting Human Action and Pose
Yanjun Zhu, Yanxia Zhang, Qiong Liu, Andreas Girgensohn, and David Doermann
International Conference on Pattern Recognition (ICPR), 2020.
Selecting Informative Frames for Action Recognition with Partial Observations
Yanjun Zhu, Gang Yu, Junsong Yuan, and Kai-Kuang Ma
International Conference on Image Processing (ICIP), 2018. (Oral)
Sequential Optimization for Efficient High-Quality Object Proposal Generation
Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu. Ming-Ming Cheng, Venkatesh Saligrama, and Philip H.S. Torr
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 40(5), pp.1209-1223, 2017.
In-field automatic observation of wheat heading stage using computer vision
Yanjun Zhu, Zhiguo Cao, Hao Lu, Yanan Li, and Yang Xiao
Biosystems Engineering, 143, pp.28-41, 2016. (Outstanding Paper Award)
Teaching
- [2023 Spring] Computer Vision and Image Processing
- [2022 Fall] Information Retrieval
- [2020 Fall] Blockchain Application Development
- [2020 Spring, 2019 Fall] Introduction to Machine Learning
Honors and Awards
- [2021.09] Best Presentation Award, OPPO US Research Center
- [2018.07] European Society of Agricultural Engineers Outstanding Paper Award (1 per year)
- [2016.10] National Scholarship for Graduate Students (< 1%)
- [2014.12] Excellent Bachelor Thesis Award in Hubei Province, China (< 1%)
Services
- Conference Reviewer: ACCV, WACV, ICIP, ICCV, ECCV, CVPR, NeurIPS, ICLR, ACM Multimedia, AAAI
- Journal Reviewer: Springer Plant Methods, IEEE TCSVT, Elsevier JVCIR