Zhenjun Han
Email: hanzhj at
Mobile phone: 0086-10-69671882
Address: R345
Postcode: 100049

I am currently recruiting Master students on the area of Image processing, Computer vision and Machine learning, please drop me an email with your detailed information if interested.

Research Areas

Information Fusion

Object Tracking

Tiny Object Detection


Mar 2020 — We release the TinyBenchmark to help researchers develop better models and algorithms for tiny object detection (Link).

Feb 2020 — We (I am the General Chair) will organize the Real-world Recognition from Low-quality Inputs (RLQ) Workshop and the 1st Tiny Object Detection (TOD) Challenge with ECCV 2020 (Link).

Dec 2019 — I have one paper accepted by WACV 2020.

Sep 2019 — I have one paper accepted by TOMM.

Aug 2019 — I have one paper accepted by T-PAMI.

May 2019 — I have one paper accepted by PR.

Dec 2018 — I have one paper accepted by T-CSVT as the 1st author.




(1)Adaptive Discriminative Deep Correlation Filter for Visual Object Tracking,TCSVT,2019.

(2)High performance person re-identification via a boosting ranking ensemble,Pattern Recognition,2019.

(3)Spatial Preserved Graph Convolution Networks for Person Reidentification,Transactions on Multimedia Computing Communications and Applications(TOMM),2019.

(4) Min-Entropy Latent Model for Weakly Supervised Object Detection,IEEE Trans. Pattern Anal. Mach. Intell.,2019. 

(5)CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection,IEEE Transactions on Intelligent Transportation Systems,2019.

(6)A bottom-up summarization algorithm for videos in the wild,EURASIP J. Adv. Sig. Proc.,2019.

(7)Beyond Group: Multiple Person Tracking via Minimal Topology-Energy-Variation, IEEE Trans. Image Processing.

(8)Real-Time Multi-pedestrian Tracking in Traffic Scenes via an RGB-D-Based Layered Graph Model, IEEE Trans. Intelligent Transportation Systems, 2015.

(9) Visual Object Tracking via Sample-Based Adaptive Sparse Representation,Pattern Recognition,2011.

(10) Combined feature evaluation for adaptive visual object tracking,Computer Vision and Image Understanding,2011.

(11) Human Detection In Images Via Piecewise Linear Support Vector,IEEE Transactions on Image Processing,2012.

(12) Visual Abnormal Behavior Detection Based on Trajectory Sparse Reconstruction Analysis,Neurocomputing,2012. 



(1)Scale Match for Tiny Person Detection,WACV,2020.

(2)Feature Hourglass Network for Skeleton Detection,CVPR workshop,2019.

(3)Min-Entropy Latent Model for Weakly Supervised Object Detection,CVPR,2018.

(4)A scalable convolutional neural network for task-specified scenarios via knowledge distillation,ICASSP,2017.

(5)Unsupervised person re-identification via re-ranking enhanced sample-specific metric learning,ICIP,2017.

(6)Person re-identification via adaboost ranking ensemble,ICIP,2016.

(7)Locality-Constrained Sparse Reconstruction for Trajectory Classification,ICPR,2014.

(8)Depth Structure Association for RGB-D Multi-target Tracking,ICPR,2014.

(9) Robust Visual Object Tracking via Sparse Representation and Reconstruction,International Conference on Computer Analysis of Images and Patterns,2013.

(10) A Fast Object Tracking Approach Based on Sparse Representation,International Conference on Image Processing,2011.

(11) Online Feature Evaluation for Object Tracking Using Kalman Filter,International Conference on Pattern Recognition,2008.

(12) Feature Evaluation by Particle Filter for Adaptive Object Tracking,International Conference on Visual Communications and Image Processing ,2008.

(13) Real-time Multi-pedestrian Tracking Based on Vision and Depth information fusion,Proc. of Pacific-Rim Conference on Multimedia, 2013.

(14) A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems,The Pacific-Rim Conference on Multimedia,2013.

(15) Robust Weld Line Detection with Cross Structured Light and Hidden Markov Model,Proc. of 2012 IEEE International Conference on Mechatronics and Automation,2012.

(16) Visual Object Tracking via One-Class SVM,ACCV2010 Workshop on Visual Surveillance,2010. 


(1)Associate Editor of Journal of Electronic Imaging

(2)Guest Editor of Special issue on Semantic representations for social behavior analysis in video surveillance systems, Signal, Image and Video Processin

(3) Session Chair and Meta-Reviewer of special issue: Multimedia Information Processing and Understanding for Intelligent Surveillance, 4th International Conference on Internet Multimedia Computing and Service


(1) Intelligent monitoring method and system for cluster scene based on cluster trajectory classification, 2015

(2)A Pedestrian Recognition Method Based on Unsupervised Local Metric Learning and Reordering, 2017

(3)Wireless video surveillance system and its image transmission method and device, 2017

(4)A Video Deduplication Method Based on Unsupervised Deep Twin Networks, 2018

(5)A Pedestrian Recognition Transfer Learning Method Based on Stylized Image Preservation, 2018

(6)A weakly supervised image target detection method based on hierarchical entropy optimized hidden variable model, 2018

(7)A Weakly Supervised X-ray Image Contraband Inspection Method Based on Layered Propagation and Activation, 2018

(8)An X-ray image contraband positioning method based on weakly supervised deep learning and target probability preselection, 2018

(9)A method of target skeleton detection based on linear expansion theory, 2018

(10)A Weak and Small Person Target Detection Method Based on Scale Matching, 2019

(11)A Fine-Grained Image Classification Method Based on Selective Sparse Sampling Model, 2019

(12)A Method of Object Classification and Location Based on Network Supervision, 2019

(13)A Method for Classification and Location of Weak Supervised Objects Based on Diversity Learning, 2019

(14)Weak target detection based on multi-source information fusion, 2019