2026 Kin-Man Lam: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	54	4575	4446	611	607	371	11435

Kin-Man Lam publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Kin-Man Lam sits on this spectrum.

32 publications 991+

This scientist: 371 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Kin-Man Lam D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Kin-Man Lam sits on this spectrum.

30 D-Index 131+

This scientist: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Kin-Man Lam is affiliated with the Hong Kong Polytechnic University in China. Their research primarily spans the fields of computer science and engineering, with a strong focus on computer vision and pattern recognition, media technology, and artificial intelligence. The scientist's work also touches on biomedical engineering and computational mechanics.

Their research centers on image processing and computer vision, covering topics such as advanced image processing techniques, image enhancement techniques, advanced vision and imaging, advanced image fusion techniques, advanced neural network applications, image and signal denoising methods, and advanced image and video retrieval techniques.

They have published extensively in various venues, frequently contributing to arXiv (Cornell University), SSRN Electronic Journal, Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology, and IEEE Access.

Kin-Man Lam's recent publications include the following papers:

"Underwater Camera: Improving Visual Perception Via Adaptive Dark Pixel Prior and Color Correction" (2023) in the International Journal of Computer Vision
"CoF-Net: A Progressive Coarse-to-Fine Framework for Object Detection in Remote-Sensing Imagery" (2023) in IEEE Transactions on Geoscience and Remote Sensing
"Efficient Inductive Vision Transformer for Oriented Object Detection in Remote Sensing Imagery" (2023) in IEEE Transactions on Geoscience and Remote Sensing
"HCLR-Net: Hybrid Contrastive Learning Regularization with Locally Randomized Perturbation for Underwater Image Enhancement" (2024) in the International Journal of Computer Vision
"Deep Cross-Modal Representation Learning and Distillation for Illumination-Invariant Pedestrian Detection" (2021) in IEEE Transactions on Circuits and Systems for Video Technology

Frequent collaborators include Tianshan Liu, Jun Xiao, Rui Zhao, Yakun Ju, and Cong Zhang, indicating an active engagement in cooperative research efforts within their field.

Best Publications

Locating and extracting the eye in human face images

Kin-Man Lam;Hong Yan

515
Citations
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection

Hongmei Song;Wenguan Wang;Sanyuan Zhao;Jianbing Shen

494
Citations
A Level Set Approach to Image Segmentation With Intensity Inhomogeneity

Kaihua Zhang;Lei Zhang;Kin-Man Lam;David Zhang

479
Citations
An analytic-to-holistic approach for face recognition based on a single frontal view

Kin-Man Lam;Hong Yan

379
Citations
An efficient algorithm for human face detection and facial feature extraction under different conditions

Kwok-Wai Wong;Kin-Man Lam;Wan-Chi Siu

243
Citations
An efficient illumination normalization method for face recognition

Xudong Xie;Kin-Man Lam

233
Citations
Face recognition under varying illumination based on a 2D face shape model

Xudong Xie;Kin Man Lam

207
Citations
Extraction of the Euclidean skeleton based on a connectivity criterion

Wai Pak Choi;Kin Man Lam;Wan Chi Siu

203
Citations
Gabor-based kernel PCA with doubly nonlinear mapping for face recognition with a single face image

Xudong Xie;Kin-Man Lam

182
Citations
Visual-Patch-Attention-Aware Saliency Detection

Muwei Jian;Kin-Man Lam;Junyu Dong;Linlin Shen

174
Citations
Optimal sampling of Gabor features for face recognition

Dang-Hui Liu;Kin-Man Lam;Lan-Sun Shen

168
Citations
A new key frame representation for video segment retrieval

Kin-Wai Sze;Kin-Man Lam;Guoping Qiu

148
Citations
Illumination invariant face recognition

Dang-Hui Liu;Kin-Man Lam;Lan-Sun Shen

146
Citations
Simultaneous Hallucination and Recognition of Low-Resolution Faces Based on Singular Value Decomposition

Muwei Jian;Kin-Man Lam

142
Citations
Person re-identification by unsupervised video matching

Xiaolong Ma;Xiatian Zhu;Shaogang Gong;Xudong Xie

138
Citations
Fast greedy algorithm for active contours

Kin-Man Lam;Heng-Chao Yan

135
Citations
CoF-Net: A Progressive Coarse-to-Fine Framework for Object Detection in Remote-Sensing Imagery

Unknown

133
Citations
Generation of moment invariants and their uses for character recognition

Wai-Hong Wong;Wan-Chi Siu;Kin-Man Lam

130
Citations
Simplified Gabor wavelets for human face recognition

Wing-Pong Choi;Siu-Hong Tse;Kwok-Wai Wong;Kin-Man Lam

127
Citations
A robust scheme for live detection of human faces in color images

Kwok Wai Wong;Kin Man Lam;Wan Chi Siu

126
Citations
An Improved Method for Locating and Extracting the Eye in Human Face Images

Kin-Man Lam;Hong Yan

23
Citations

Frequent Co-Authors

Wan-Chi Siu Hong Kong Polytechnic University

Muwei Jian Shandong University of Finance and Economics

Guoping Qiu University of Nottingham

Junyu Dong Ocean University of China

Hong Yan City University of Hong Kong

Xiangjian He University of Technology Sydney

Zhigang Zeng Huazhong University of Science and Technology

Yilong Yin Shandong University

Kup-Sze Choi Hong Kong Polytechnic University

Min Xu University of Technology Sydney

External Links

Personal website of Kin-Man Lam Google Scholar page

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