Kevin Ho Man CHENG




Postdoctoral Researcher




Kevin Ho Man Cheng is currently a postdoctoral researcher, under the supervision of Prof. Guoying Zhao, with the Center for Machine Vision and Signal Analysis, University of Oulu, Finland. He received the Ph.D. degree, under the supervision of Prof. Ajay Kumar, from the Hong Kong Polytechnic University. His research work has been published in top tier journals, including IEEE TPAMI and IEEE TIP. He has also reviewed 60+ manuscripts for journals and conferences such as TPAMI, CVPR, and ICCV. His research interests include biometrics, computer vision, image processing, and deep learning.


Research interests



Computer Vision

Image Processing

Deep Learning




Doctor of Philosophy (PhD) with the Department of Computing, The Hong Kong Polytechnic University, 2021.

(Thesis: Contactless 3D Finger Knuckle Identification) [PDF | Code]

(External Examiners: Prof. Sam T.W. Kwong, City University of Hong Kong ; Prof. Bhagavatula Vijaya Kumar, Carnegie Mellon University)

Master of Science (MSc) in Computer Science, The University of Hong Kong, 2014.

Bachelor of Engineering (BEng) in Computer Engineering, City University of Hong Kong, 2013.


Journal publications

Kevin H. M. Cheng, Ajay Kumar

Contactless Biometric Identification using 3D Finger Knuckle Patterns

IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 42(8), pp.1868-1883, 2020. (IF: 16.4)

[PDF | Code]

Kevin H. M. Cheng, Ajay Kumar

Efficient and Accurate 3D Finger Knuckle Matching Using Surface Key Points

IEEE Transactions on Image Processing (T-IP), 29, pp.8903-8915, 2020. (IF: 10.9)

[PDF | Code]

Kevin H. M. Cheng, Ajay Kumar

Revisiting Outlier Rejection Approach for Non-Lambertian Photometric Stereo

IEEE Transactions on Image Processing (T-IP), 28(3), pp.1544-1555, 2019. (IF: 10.9)

[PDF | Code]

Kevin H. M. Cheng, Ajay Kumar

Deep Feature Collaboration for Challenging 3D Finger Knuckle Identification

IEEE Transactions on Information Forensics and Security (T-IFS), 16, pp.1158-1173, 2021. (IF: 7.2)

[PDF | Code]

Kevin H. M. Cheng, Ajay Kumar

Accurate 3D Finger Knuckle Recognition Using Auto-Generated Similarity Functions

IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM), 3(2), pp.203-213, 2021.

[PDF | Code]


Conference publications

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Kevin H. M. Cheng, Zitong Yu, Haoyu Chen, Guoying Zhao

Benchmarking 3D Face De-identification with Preserving Facial Attributes

IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, October 2022.

[PDF | Code]

Kevin H. M. Cheng, Ajay Kumar

Distinctive Feature Representation for Contactless 3D Hand Biometrics using Surface Normal Directions

IEEE International Joint Conference on Biometrics, IJCB 2020, Houston, USA, September 2020.

(Oral, Acceptance Rate: 10.6%)

[PDF | Code]

Kevin H. M. Cheng, Ajay Kumar

Advancing Surface Feature Encoding and Matching for More Accurate 3D Biometric Recognition

IAPR International Conference on Pattern Recognition, ICPR 2018, Beijing, China, August 2018.


N.K. Kong, Cynthia Y. H. Chan, Kevin H. M. Cheng, Chia-huei Tseng

Experience-Driven Perceptual Bias in Face Processing for 8-11 Month-Old Infants

Asia-Pacific Conference on Vision, APCV 2014, Takamatsu, Japan, July 2014.



Professional and community activities


Session Chair, Biometrics Workshop jointly with the Workshop on Analysis and Modeling of Faces and Gestures, CVPR21.


Outstanding Reviewer, CVPR21.


Journal Reviewer: IEEE T-PAMI (21-22), IEEE T-MM (22), Elsevier PR (21), IEEE T-CSVT (20-21), IEEE T-BIOM (19-20).


Conference Reviewer: IEEE CVPR (20-23), IEEE ECCV (22), IEEE ICCV (21), ACMMM (20-21), IEEE WACV (21), ACM ICMI (21), IEEE IJCB (20).


Organizer, IEEE International Conference on Identity, Security and Behavior Analysis (ISBA15).


Current position


Postdoctoral Researcher


Center for Machine Vision and Signal Analysis (CMVS)


Faculty of Information Technology and Electrical Engineering




homan.cheng (at) (at)