Zezhi Chen

According to our database, Zezhi Chen authored at least 32 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SportQA: A Benchmark for Sports Understanding in Large Language Models.

Haotian Xia, Zhengbang Yang, Yuqing Wang, Rhys Tracy, Yun Zhao, Dongdong Huang, Zezhi Chen, Yan Zhu, Yuan-Fang Wang, Weining Shen

CoRR, 2024

2021

Neural Network Acceleration and Voice Recognition with a Flash-based In-Memory Computing SoC.

Liang Zhao, Shifan Gao, Shengbo Zhang, Xiang Qiu, Fan Yang, Jie Li, Zezhi Chen, Yi Zhao

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2017

Shadow Detection for Vehicle Classification in Urban Environments.

Muhammad Hanif, Fawad Hussain, Muhammad Haroon Yousaf, Sergio A. Velastin, Zezhi Chen

Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

2016

Vision-based traffic surveys in urban environments.

Zezhi Chen, Tim Ellis, Sergio A. Velastin

J. Electronic Imaging, 2016

2014

A self-adaptive Gaussian mixture model.

Zezhi Chen, Tim Ellis

Comput. Vis. Image Underst., 2014

Lane detection by trajectory clustering in urban environments.

Zezhi Chen, Yuyao Yan, Tim J. Ellis

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013

Efficient annotation of video for vehicle type classification.

Zezhi Chen, Tim J. Ellis

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Automatic lane detection from vehicle motion trajectories.

Zezhi Chen, Tim J. Ellis

Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

2012

Detection, tracking and classification of vehicles in urban environments.

Zezhi Chen

PhD thesis, 2012

Vehicle detection, tracking and classification in urban traffic.

Zezhi Chen, Tim J. Ellis, Sergio A. Velastin

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

2011

Vehicle type categorization: A comparison of classification schemes.

Zezhi Chen, Tim J. Ellis, Sergio A. Velastin

Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Detecting and Classifying Linear Structures in Mammograms Using Random Forests.

Michael Berks, Zezhi Chen, Susan M. Astley, Christopher J. Taylor

Proceedings of the Information Processing in Medical Imaging, 2011

Self-adaptive Gaussian mixture model for urban traffic monitoring system.

Zezhi Chen, Tim Ellis

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Multi-shape Descriptor Vehicle Classification for Urban Traffic.

Zezhi Chen, Tim Ellis

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

2010

Classification of Linear Structures in Mammograms Using Random Forests.

Zezhi Chen, Michael Berks, Susan M. Astley, Christopher J. Taylor

Proceedings of the Digital Mammography, 2010

2009

Background Subtraction in Video Using Recursive Mixture Models, Spatio-Temporal Filtering and Shadow Removal.

Zezhi Chen, Nick E. Pears, Michael Freeman, Jim Austin

Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

2007

Towards resource-certified software: a formal cost model for time and its application to an image-processing example.

Armelle Bonenfant, Zezhi Chen, Kevin Hammond, Greg Michaelson, Andrew M. Wallace, Iain Wallace

Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Video Object Tracking Based on a Chamfer Distance Transform.

Zezhi Chen, Zsolt L. Husz, Iain Wallace, Andrew M. Wallace

Proceedings of the International Conference on Image Processing, 2007

Improved Object Tracking Using an Adaptive Colour Model.

Zezhi Chen, Andrew M. Wallace

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

Active Segmentation and Adaptive Tracking Using Level Sets.

Zezhi Chen, Andrew M. Wallace

Proceedings of the British Machine Vision Conference 2007, 2007

2006

A method of visual metrology from uncalibrated images.

Zezhi Chen, Nick E. Pears, Bojian Liang

Pattern Recognit. Lett., 2006

Monocular obstacle detection using reciprocal-polar rectification.

Zezhi Chen, Nick E. Pears, Bojian Liang

Image Vis. Comput., 2006

2005

Mobile Robot Visual Navigation Using Multiple Features.

Nick E. Pears, Bojian Liang, Zezhi Chen

EURASIP J. Adv. Signal Process., 2005

Two-stage visual localisation: landmark-based pose initialisation and model-based pose refinement.

Zezhi Chen, Philip Pe, John Alexander McDermid, Nick E. Pears

Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

2004

3d Euclidean Reconstruction of Buildings from Uncalibrated Image Sequences.

Zezhi Chen, Chengke Wu, Yong Liu, Nick E. Pears

Int. J. Shape Model., 2004

Uncalibrated Two-View Metrology.

Bojian Liang, Zezhi Chen, Nick E. Pears

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Plane Segmentation from Two Views in Reciprocal-Polar Image Space.

Zezhi Chen, Nick E. Pears, Bojian Liang, John Alexander McDermid

Proceedings of the Image Analysis and Recognition: International Conference, 2004

2003

A new image rectification algorithm.

Zezhi Chen, Chengke Wu, Hung-Tat Tsui

Pattern Recognit. Lett., 2003

Face Recognition: A Comparison of Appearance-Based Approaches.

Thomas Heseltine, Nick E. Pears, Jim Austin, Zezhi Chen

Proceedings of the Seventh International Conference on Digital Image Computing: Techniques and Applications, 2003

Epipole Estimation under Pure Camera Translation.

Zezhi Chen, Nick E. Pears, John Alexander McDermid, Thomas Heseltine

Proceedings of the Seventh International Conference on Digital Image Computing: Techniques and Applications, 2003

2002

Image dense matching based on region growth with adaptive window.

Li Tang, Chengke Wu, Zezhi Chen

Pattern Recognit. Lett., 2002

2000

A robust algorithm to estimate the fundamental matrix.

Zezhi Chen, Chengke Wu, Peiyi Shen, Yong Liu, Long Quan

Pattern Recognit. Lett., 2000