Introduction
Dean's Welcome About Graduate School History
Department
Department of Mechanical Design and Robot Engineering Department of Mechanical Engineering Department of Safety Engineering Department of Mechanical Information Engineering Department of Data Science Department of Materials Science & Engineering Department of Automotive Engineering Department of Civil Engineering Department of Architecture Department of Electrical and Information Engineering Department of Electronic Engineering Department of Computer Science and Engineering Department of Smart ICT Convergence Engineering Department of Chemical and Biomolecular Engineering Department of Environmental Engineering Department of Food Science and Biotechnology Convergence Institute of Biomedical Engineering and Biomaterials Convergence Program of Biomedical Engineering and Biomaterials Program of Materials Science & Engineering Program of Civil Engineering Program of Architecture Program of Electrical and Information Engineering Department of Interdisciplinary Bio IT Materials Bio IT Program Electronic Engineering Program Department of Fine Chemistry Department of Optometry Department of Industrial Design Department of Visual Design Department of Ceramic Art Department of Metal Art & Design Department of Fine Arts Department of Sports Science Department of Business Administration Department of TESOL Department of Creative Writing Department of Integrated IT Engineering Department of New and Renewable Energy Convergence Department of AI Management
Academic Affairs
Academic Calendar Enrollment for Classes Scholarship Degree Course
Admission
HOME > Department > Department of AI Management > Faculty
Introduction Faculty Curriculumn
Department of AI Management
홈 영문-일반대학원 Department Department of AI Management Faculty
Return to Faculty
Name
 Hanul Kim
MAJOR
 Computer Vision, Machine Learning
TEL
 02-970-9771
E-mail
 hukim@seoultech.ac.kr
Biography
- 2014. 3 ~ 2020. 8, Ph.D. School of Electrical Engineering, Korea University, Korea
- 2008. 3 ~ 2014. 2, B.E. School of Electrical Engineering, Korea University, Korea
Careers
- 2020. 9 ~ 2021. 6, Senior Engineer, Qualcomm AI Research, Korea
Selected Publications
- H.-U. Kim, M. Jain, J.-T. Lee, S. Yun, and F. Porikli, Efficient Video Processing via Dynamic Knowledge Propagation, IEEE ICCV, October, 2021
- H.-U. Kim, S.-M. Choi, C.-S. Kim and Y. J. Koh, Representative Color Transform for Image Enhancement, IEEE ICCV, October, 2021
- H.-U. Kim, Y. J. Koh, and C.-S. Kim, Global and Local Image Enhancement Network, ECCV, August, 2020
- H.-U. Kim, Y. J. Koh, and C.-S. Kim, PieNet: Personalized Image Enhancement Network, ECCV, August, 2020
- M. Heo, J. Lee, K.-R. Kim, H.-U. Kim, and C.-S. Kim, Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement, ECCV, September, 2018
- J.-T. Lee, H.-U. Kim, and C.-S. Kim, Semantic Line Detection and Its Applications, ICCV, October, 2017
- H.-U. Kim and C.-S. Kim, Locator-Checker-Scaler Object Tracking Using Spatially Ordered and Weighted Patch Descriptor, IEEE Transaction on Image Processing, 26 (8), 3817-3830, August, 2017
- H.-U. Kim and C.-S. Kim, CDT: Cooperative Detection and Tracking for Tracing Multiple Objects in Video Sequences, ECCV, October, 2016
- H.-U. Kim, D.-Y. Lee, J.-Y. Sim, and C.-S. Kim, SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking, ICCV, December, 2015
Journal Papers
- (SCIE) H.-U. Kim, Y. J. Koh, and C.-S. Kim, Online Multiple Object Tracking Based on Open-Set Few-Shot Learning, IEEE Access, 8, 190312-190326, October, 2020
- (SCIE) S.-H. Lee, H.-U. Kim, and C.-S. Kim, ELF-Nets: Deep Learning on Point Clouds Using Extended Laplacian Filter, IEEE Access, 7, 156569-156581, October, 2019
- (SCIE) J.-T. Lee, H.-U. Kim, C. Lee, and C.-S. Kim, Photographic Composition Classification and Dominant Geometric Element Detection for Outdoor Scenes, Journal of Visual Communication and Image Representation, 55, 91-105, August, 2018
- (SCIE) H.-U. Kim and C.-S. Kim, Locator-Checker-Scaler Object Tracking Using Spatially Ordered and Weighted Patch Descriptor, IEEE Transaction on Image Processing, 26 (8), 3817-3830, August, 2017
- (SCIE) K. Lee, S.-H. Ryu, S. Yeon, H. Cho, C. Jun, J. Kang, H. Choi, J. Hyeon, I. Baek, W. Jung, H.-U. Kim, and N. L. Doh, Accurate Continuous Sweeping Framework in Indoor Spaces with Backpack Sensor System for Applications to 3-D Mapping, IEEE Robotics and Automation Letters, 1, 316-323, January, 2016
◾ Image enhancement with intensity transformation on embedding space, CAAI Transactions on Intelligence Technology, vol.1 No.1, 2024김한울
◾ RPF: Reference-Based Progressive Face Super-Resolution Without Losing Details and Identity, IEEE Access, vol.11 pp.46707~46718, 2023김한울
◾ Comparative study of term-weighting schemes for environmental big data using machine learning, Environmental Modelling & Software, vol.157, 2022김한울
◾ Unpaired Screen-Shot Image Demoireing With Cyclic Moire Learning, IEEE Access, vol.10 pp.16254~16268, 2022김한울
Conference Papers
- H.-U. Kim, M. Jain, J.-T. Lee, S. Yun, and F. Porikli, Efficient Video Processing via Dynamic Knowledge Propagation, IEEE ICCV, October, 2021
- H.-U. Kim, S.-M. Choi, C.-S. Kim and Y. J. Koh, Representative Color Transform for Image Enhancement, IEEE ICCV, October, 2021
- H.-U. Kim, Y. J. Koh, and C.-S. Kim, Global and Local Image Enhancement Network, ECCV, August, 2020
- H.-U. Kim, Y. J. Koh, and C.-S. Kim, PieNet: Personalized Image Enhancement Network, ECCV, August, 2020
- H.-U. Kim, Y. J. Koh, and C.-S. Kim, Meta Learning for Unsupervised Clustering, BMVC, September. 2019
- M. Heo, J. Lee, K.-R. Kim, H.-U. Kim, and C.-S. Kim, Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement, ECCV, September, 2018
- H.-U. Kim, and C.-S. Kim, PGT: Proposal-Guided Object Tracking, APSIPA ASC, December, 2017
- J.-T. Lee, H.-U. Kim, and C.-S. Kim, Semantic Line Detection and Its Applications, ICCV, October, 2017
- H.-U. Kim and C.-S. Kim, Locator-Checker-Scaler Object Tracking Using Spatially Ordered and Weighted Patch Descriptor, IEEE Transaction on Image Processing, 26 (8), 3817-3830, August, 2017
- H.-U. Kim and C.-S. Kim, CDT: Cooperative Detection and Tracking for Tracing Multiple Objects in Video Sequences, ECCV, October, 2016
- H.-U. Kim, D.-Y. Lee, J.-Y. Sim, and C.-S. Kim, SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking, ICCV, December, 2015
- H.-U. Kim, J.-H. Kim, and C.-S. Kim, Hybrid Representation and Rendering of Indoor Environments Using Meshes and Point Clouds, URAI, November, 2014
◾ Jong-Hyeon Baek, DaeHyun Kim, Su-Min Choi, Hyo-jun Lee, Hanul Kim, Yeong Jun Koh, Luminance-aware Color Transform for Multiple Exposure Correction, 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris Convention Centre, 2023김한울
◾ Hyo-Jun Lee, Hanul Kim, Su-Min Choi, Seong-Gyun Jeong, Yeong Jun Koh, BAAM: Monocular 3D pose and shape reconstruction with bi-contextual attention module and attention-guided modeling, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver Convention Centre, 2023김한울
◾ Hanul Kim, Mihir Jain, Jun-Tae Lee, Sungrack Yun, Fatih Porikli, Efficient Action Recognition via Dynamic Knowledge Propagation, 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Virtual, 2021김한울
◾ Hanul Kim, Su-Min Choi, Chang-Su Kim, Yeong Jun Koh, Representative Color Transform for Image Enhancement, 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Virtual, 2021김한울
◾ Han-Ul Kim, Yeong Jun Koh, Chang-Su Kim, Global and Local Enhancement Networks for Paired and Unpaired Image Enhancement, European Conference on Computer Vision, Virtual, 2020김한울
◾ Han-Ul Kim, Yeong Jun Koh, Chang-Su Kim, PieNet: Personalized Image Enhancement Network, European Conference on Computer Vision, Virtual, 2020김한울
Projects
- Development of Efficient Video Action Recognition System, Qualcomm AI Research, 2020-2021
- Development of Out-of-Distribution Detection Algorithm, Qualcomm AI Research, 2020-2021
- Beyond Vision System for Overcoming Limitations of Human Visual Perception, NRF(National Research Foundation of Korea), 2018-2020
- Development of Frame Rate Up-Conversion Algorithm Based on Deep Learning, LG Electronics, 2018-2019
- Development of Image Quality Measurement System Based on Deep Learning, LG Electronics, 2017-2018
- Development of Depth Estimation Algorithms fo Depth-of-Field, Samsung Electronics, 2017-2018
- Development of Object Tracking and Segmentation Algorithms, LG Electronics, 2015-2016
- Development of Intelligent Visual Assistant System Based on Image Recognition for The Visually Impaired, NRF(National Research Foundation of Korea), 2015-2018
- Development of Image Simplification Algorithm for Semantic Compression, Samsung Electronics, 2015
Awarded
◾ 우수강의상(전임), 2023학년도 교육분야 우수교원, 서울과학기술대학교, 2024김한울
232 Gongneung-ro, Nowon-gu, Seoul, 01811, korea Tel :+82-2-970-6793 Fax : +82-2-970-6800
Copyright © Seoul National University of Science&Technology. All rights Reserved.