Zhenhua Feng
Scholar

Zhenhua Feng

Google Scholar ID: Y6KtijIAAAAJ
Professor of Computer Vision and Machine Learning, Jiangnan University
Computer VisionMachine LearningPattern RecognitionImage ProcessingArtificial Intelligence
Citations & Impact
All-time
Citations
5,455
 
H-index
31
 
i10-index
57
 
Publications
20
 
Co-authors
19
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Published over 100 high-level papers in the fields of computer vision, pattern recognition, and machine learning, with more than 4600 citations on Google Scholar
  • - Led two national-level projects, managed two Innovate KTP projects in the UK, and participated in multiple research projects including EPSRC Programme Grant, EU FP7, and National Natural Science Foundation of China
  • - Received the 'European Biometrics Industry Award' from the European Association for Biometrics
  • - The paper 'Robust Pedestrian Detection for Semi-Automatic Construction of A Crowded Person Re-Identification Dataset' won the 'Best Commercial Application Paper Award' at the 10th International Conference on Articulated Motion and Deformable Objects (AMDO)
  • - Co-supervised student paper 'KITPose: Keypoint-Interactive Transformer for Animal Pose Estimation' won the 'Best Student Paper Award' at the 5th Chinese Conference on Pattern Recognition and Computer Vision (PRCV)
  • - Received the 'Early Career Teacher of the Year Award' from the School of Computer Science and Electronic Engineering, University of Surrey
  • - Received the 'Outstanding Research Award' from the Department of Electronic Engineering, University of Surrey
  • - Received the 'Bill Christmas Outstanding Research Award' from the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey
  • - The research paper 'Random Cascaded Regression Copse for Robust Facial Landmark Detection' was selected as the cover paper of the IEEE Signal Processing Letters and was awarded the 'Best 10% Paper' at the IEEE International Conference on Image Processing (ICIP)
  • - The research paper 'Fitting 3D Morphable Models using Local Features' was awarded the 'Best 10% Paper' at the IEEE International Conference on Image Processing (ICIP)
Research Experience
  • - 2016-2019, Research Fellow at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK
  • - 2019-2020, Senior Research Fellow at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK
  • - 2020-2023, Lecturer at the School of Computer Science and Electronic Engineering, University of Surrey, UK
  • - 2023-2024, Senior Lecturer at the School of Computer Science and Electronic Engineering, University of Surrey, UK
  • - 2022-2024, BSc Computer Science Programme Lead at the University of Surrey, UK
Education
  • Information not available
Background
  • Research interests include computer vision, pattern recognition, machine learning, cross-modal content generation, biometric recognition, etc. Currently, he is a Professor and Doctoral Supervisor at the School of Artificial Intelligence and Computer Science, Jiangnan University, an IEEE Senior Member, and a Fellow of the Higher Education Academy (UK).
Miscellany
  • Contact: fengzhenhua@jiangnan.edu.cn