2026 Tae-Kyun Kim: 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	62	2927	2842	13	13	270	14277

Overview

Tae-Kyun Kim is affiliated with the Korea Advanced Institute of Science and Technology in South Korea and has contributed extensively to research in computer science and engineering. Their work spans several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering, and Economics and Econometrics.

Their research covers a variety of main topics such as:

Human Pose and Action Recognition
Generative Adversarial Networks and Image Synthesis
Advanced Image Processing Techniques
Robot Manipulation and Learning
Domain Adaptation and Few-Shot Learning
Advanced Vision and Imaging
Advanced Neural Network Applications

Frequent publication venues for their work include:

arXiv (Cornell University)
Korean Journal of Agricultural Management and Policy
Academy of Management Proceedings
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Journal of Agriculture & Life Science

Multiple collaborations have shaped their research output, frequently working with:

Binod Bhattarai
Wenhan Luo
Lin Wang
Guillermo Garcia-Hernando
Wonjoon Kim

Selected recent papers include:

Multiple Object Tracking: A Literature Review, 2020, Artificial Intelligence
Geometry-based Distance Decomposition for Monocular 3D Object Detection, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
A Review on Object Pose Recovery: From 3D Bounding Box Detectors to Full 6D Pose Estimators, 2020, Image and Vision Computing
When Does AI Pay Off? AI-adoption Intensity, Complementary Investments, and R&D Strategy, 2022, Technovation
GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions, 2024, International Journal of Computer Vision

Their body of work evidences a focus on advancing techniques in computer vision, AI adoption strategies, and complex image restoration methodologies. The cross-disciplinary approach involving economics and engineering aspects demonstrates a breadth of research interests aligned with technological and practical challenges.

Best Publications

Multiple object tracking: A literature review

Wenhan Luo;Wenhan Luo;Junliang Xing;Anton Milan;Xiaoqin Zhang

1011
Citations
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations

Tae-Kyun Kim;J. Kittler;R. Cipolla

754
Citations
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations

Guillermo Garcia-Hernando;Shanxin Yuan;Seungryul Baek;Tae-Kyun Kim

488
Citations
Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture

Danhang Tang;Hyung Jin Chang;Alykhan Tejani;Tae-Kyun Kim

478
Citations
BOP: Benchmark for 6D Object Pose Estimation

Tomas Hodan;Frank Michel;Eric Brachmann;Wadim Kehl

456
Citations
Tensor Canonical Correlation Analysis for Action Classification

Tae-Kyun Kim;Shu-Fai Wong;R. Cipolla

446
Citations
Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image

Tae-Kyun Kim;J. Kittler

394
Citations
Canonical Correlation Analysis of Video Volume Tensors for Action Categorization and Detection

Tae-Kyun Kim;R. Cipolla

361
Citations
Latent-Class Hough Forests for 3D Object Detection and Pose Estimation

Alykhan Tejani;Danhang Tang;Rigas Kouskouridas;Tae-Kyun Kim

316
Citations
Learning Motion Categories using both Semantic and Structural Information

Shu-Fai Wong;Tae-Kyun Kim;R. Cipolla

288
Citations
Real-Time Articulated Hand Pose Estimation Using Semi-supervised Transductive Regression Forests

Danhang Tang;Tsz-Ho Yu;Tae-Kyun Kim

280
Citations
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis

Shanxin Yuan;Qi Ye;Bjorn Stenger;Siddhant Jain

275
Citations
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd

Andreas Doumanoglou;Rigas Kouskouridas;Sotiris Malassiotis;Tae-Kyun Kim

245
Citations
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals

Shanxin Yuan;Guillermo Garcia-Hernando;Bjorn Stenger;Gyeongsik Moon

242
Citations
Multiple Object Tracking: A Literature Review

Wenhan Luo;Junliang Xing;Anton Milan;Xiaoqin Zhang

234
Citations
Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering

Seungryul Baek;Kwang In Kim;Tae-Kyun Kim

212
Citations
Real-time Action Recognition by Spatiotemporal Semantic and Structural Forests

Tsz-Ho Yu;Tae-Kyun Kim;Roberto Cipolla

182
Citations
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation

Qi Ye;Shanxin Yuan;Tae-Kyun Kim

170
Citations
Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose

Danhang Tang;Jonathan Taylor;Pushmeet Kohli;Cem Keskin

165
Citations
Autonomous active recognition and unfolding of clothes using random decision forests and probabilistic planning

Andreas Doumanoglou;Andreas Kargakos;Tae-Kyun Kim;Sotiris Malassiotis

159
Citations
3D Hand Pose Estimation: From Current Achievements to Future Goals

Shanxin Yuan;Guillermo Garcia-Hernando;Björn Stenger;Gyeongsik Moon

6
Citations

Frequent Co-Authors

Roberto Cipolla University of Cambridge

Bjorn Stenger Rakuten (Japan)

Josef Kittler University of Surrey

Vincent Lepetit École des Ponts ParisTech

Antonis A. Argyros University of Crete

Andrew J. Davison Imperial College London

Dongheui Lee Technical University of Munich

Junsong Yuan University at Buffalo, State University of New York

Yiannis Demiris Imperial College London

Federico Tombari Technical University of Munich

External Links

Personal website of Tae-Kyun Kim Google Scholar page

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