Faculty
Kunbo Zhang
- IJCB 2020 Best Paper Runner-up
Kunbo Zhang is an associate professor at NLPR, MAIS, CASIA. He received the B.E. degree in automation from Beijing Institute of Technology in 2006, and the M.Sc. and Ph.D. degrees in mechanical engineering from Stony Brook University in 2008 and 2011. From 2011 to 2016 he was a machine-vision engineer in the Advanced Manufacturing Engineering group at Nexteer Automotive in Michigan. His research focuses on light-field photography, biometric imaging, robot vision, human-robot interaction, and intelligent manufacturing. The all-in-focus iris camera developed with the group received the Best Paper Award runner-up at IJCB 2020.
Interests · Biometric Imaging · Human-robot Interaction · Light-field Photography
Education
M.Sc. and Ph.D. degrees in Mechanical Engineering
State University of New York · 2008-2011
B.E.degree in Automation
Beijing Institute of Technology · 2006
Selected papers on this site
- BiommWave: A Non-Visual Approach for Biometric Recognition Using Millimeter-Wave Radar
2025 · IEEE International Joint Conference on Biometrics (IJCB)
- Study on Active Privacy Protection Method in Metaverse Gaze Communication Based on Split Federated Learning
2025 · Computer Science
- Exploring Near-Infrared Iris Image Sequences for High Throughput Iris Recognition
2025 · IEEE Transactions on Information Forensics and Security (TIFS)
- Recognition Oriented Iris Image Quality Assessment in the Feature Space
0 · International Joint Conference on Biometrics 2020 (IJCB2020)
- Pose-Appearance Relational Modeling for Video Action Recognition
0 · 2022 IEEE Transactions on Image Processing (TIP)
- Open-Vocabulary Text-Driven Human Image Generation
0 · 2024 International Journal of Computer Vision (IJCV)
- NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization
0 · 2021 IEEE International Joint Conference on Biometrics (IJCB)
- NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization
0 · 2021 IEEE International Joint Conference on Biometrics (IJCB)