General

Guibo Zhu, Associate Professor, Ph.D. 


Institute of Automation, Chinese Academy of Sciences(CASIA)

Email: gbzhu@nlpr.ia.ac.cn

Tel:+86-10-82544392

Address: 95, Zhong Guan Cun Dong Lu, Beijing, China

Postcode: 100190



Research Areas

Object Detection, Object Tracking, Action Recognition, Multimodel Video Understanding

Resume

Dr. Guibo Zhu is Associate Professor of the Institute of Automation, Chinese Academy of Sciences(CAS). He received his B.E. degree in 2009 from Wuhan University, and M.Sc. degree from University of Chinese Academy of Sciences, Beijing, China, in 2013. He received the Ph.D degree from National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 2016. His current research interests include computer vision, pattern recognition, image and video processing, object tracking and action detection.

Publications

(1) Improving Multiple Object Tracking with Single Object Tracking, IEEE Conference on Computer Vision and Pattern Recognition, 2021,  Rank 4
(2) Feature Distilled Tracking, IEEE Transactions on Cybernetics, 2019, Rank 1
(3) Dynamic Collaborative Tracking, IEEE Transactions on Neural Networks and Learning Systems, 2019, Rank 1
(4) End-to-End Lifelong Learning: a Framework to Achieve Plasticities of both the Feature and Classifier Constructions, Cognitive Computation, 2018, Rank 4
(5) Appearance features in Encoding Color Space for visual surveillance, Neurocomputing, 2018, Rank 3
(6) Image Class Prediction by Joint Object, Context, and Background Modeling, IEEE Transactions on Circuits and Systems for Video Technology, 2018, Rank 2
(7) Bundled Local Features for Image Representation, IEEE Transactions on Circuits and Systems for Video Technology, 2018, Rank 3
(8) Image classification by search with explicitly and implicitly semantic representations, Information Sciences, 2017, Rank 2
(9) Diverse Neuron Type Selection for Convolutional Neural Networks, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017, Rank 1
(10) Learning Weighted Part Models for Object Tracking, Computer Vision and Image Understanding, 2016, Rank 3
(11) Clustering based ensemble correlation tracking, Computer Vision and Image Understanding, 2016, Rank 1
(12) MC-HOG Correlation Tracking with Saliency Proposal, Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016, Rank 1
(13) Person re-identification via rich color-gradient feature, IEEE International Conference on Multimedia and Expo, 2016, Rank 3
(14) DualDS: A dual discriminative rating elicitation framework for cold start recommendation, Knowledge Based Systems, 2015, Rank 4
(15) Weighted Part Context Learning for Visual Tracking, IEEE Transactions on Image Processing, 2015, Rank 1
(16) Collaborative Correlation Tracking, Proceedings of the British Machine Vision Conference, 2015, Rank 1
(17) Clustering Ensemble Tracking, Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, 2014, Rank 1
(18) Part Context Learning for Visual Tracking, British Machine Vision Conference, 2014, Rank 1
(19) Object tracking with part-based discriminative context models, IEEE International Conference on Image Processing, 2014, Rank 1
(20) Collaborative Tracking: Dynamically Fusing Short-Term Trackers and Long-Term Detector, Advances in Multimedia Modeling, 19th International Conference, 2013, Rank 1


Students

现指导学生

李敏  硕士研究生  085400-电子信息