About me
I'm currently a PhD candidate supervised by Prof.Siew-Kei Lamin School of Computer Science and Engineering, Nanyang Technological University, Singapore. Before this, I obtain M.E. degree from Tianjin University supervised by Prof.Xiaochun Cao and B.S. degree from Xi'an Technological University, China. My current work mainly focuses on clustering and object detection.
Email: chengjuzhou [AT] outlook.com
Experience
- Dec. 2013 - Jul. 2014, Intern at Institute of Deep Learning in Baidu Research, Face Group.
Publication
- Chengju Zhou, Meiqing Wu, Siew-Kei Lam
A Unified Multi-Task Learning Architecture for Fast and Accurate Pedestrian Detection
IEEE Transactions on Intelligent Transportation Systems. 2020 Sep 4 [pdf]
- Chengju Zhou, Meiqing Wu, Siew-Kei Lam
Group Cost-Sensitive BoostLR With Vector Form Decorrelated Filters for Pedestrian Detection
IEEE Transactions on Intelligent Transportation Systems. 2019 Oct 23 [pdf]
- Chengju Zhou, Meiqing Wu, Siew-Kei Lam
Group Cost-sensitive Boosting with Multi-scale Decorrelated Filters for Pedestrian Detection
The British Machine Vision Conference 2017 [pdf]
- Chengju Zhou, Meiqing Wu, Siew-Kei Lam
Fast and Accurate Pedestrian Detection using Dual-Stage Group Cost-Sensitive RealBoost with Vector Form Filters
ACM International Conference on Multimedia 2017 (Full Paper) [pdf]
- Meiqing Wu, Chengju Zhou, Thambipillai Srikanthan
Robust and Low Complexity Obstacle Detection and Tracking
IEEE International Conference on Intelligent Transportation 2016 [pdf]
- Chengju Zhou, Changqing Zhang, Huazhu Fu, Rui Wang, XiaoChun Cao
Multi-cue Augmented Face Clustering
ACM International Conference on Multimedia 2015 (Short Paper) [pdf]
- XiaoChun Cao, Changqing Zhang, Chengju Zhou, Huazhu Fu, Hassan Foroosh
Constrained Multi-View Video Face Clustering
IEEE Transactions on Image Processing 2015 [pdf] [project page]
- Chengju Zhou, Changqing Zhang, Xuewei Li, Gaotao Shi, Xiaochun Cao
Video Face Clustering via Constrained Sparse Representation
IEEE International Conference on Multimedia and Expo (ICME) 2014, Oral. [pdf] [project page]