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Hanul Kim 0001

Han-Ul Kim 0001

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affiliation: Seoul National University of Science and Technology, Seoul, Korea
affiliation: Korea University, Seoul, Korea

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2020 – today

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2024
[j9]
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Yeji Jeon, Hanul Kim:
Efficient Image Enhancement via Representative Color Transform. IEEE Access 12: 76458-76468 (2024)
[j8]
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Hanul Kim, Yeji Jeon, Yeong Jun Koh:
Image enhancement with intensity transformation on embedding space. CAAI Trans. Intell. Technol. 9(1): 101-115 (2024)
2023
[j7]
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Ji-Soo Kim, Keunsoo Ko, Hanul Kim, Chang-Su Kim:
RPF: Reference-Based Progressive Face Super-Resolution Without Losing Details and Identity. IEEE Access 11: 46707-46718 (2023)
[j6]
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Hyunseop Kim, Hyo-Jun Lee, Hanul Kim, Seong-Gyun Jeong, Yeong Jun Koh:
Joint Appearance and Motion Model With Temporal Transformer for Multiple Object Tracking. IEEE Access 11: 133792-133803 (2023)
[c13]
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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. CVPR 2023: 9011-9020
[c12]
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Jong-Hyeon Baek, Daehyun Kim, Su-Min Choi, Hyo-Jun Lee, Hanul Kim, Yeong Jun Koh:
Luminance-aware Color Transform for Multiple Exposure Correction. ICCV 2023: 6133-6142
2022
[j5]
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Hyunkook Park, Vien Gia An, Hanul Kim, Yeong Jun Koh, Chul Lee:
Unpaired Screen-Shot Image Demoiréing With Cyclic Moiré Learning. IEEE Access 10: 16254-16268 (2022)
2021
[c11]
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Hanul Kim, Su-Min Choi, Chang-Su Kim, Yeong Jun Koh:
Representative Color Transform for Image Enhancement. ICCV 2021: 4439-4448
[c10]
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Hanul Kim, Mihir Jain, Jun-Tae Lee, Sungrack Yun, Fatih Porikli:
Efficient Action Recognition via Dynamic Knowledge Propagation. ICCV 2021: 13699-13708
2020
[j4]
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Han-Ul Kim, Yeong Jun Koh, Chang-Su Kim:
Online Multiple Object Tracking Based on Open-Set Few-Shot Learning. IEEE Access 8: 190312-190326 (2020)
[c9]
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Han-Ul Kim, Yeong Jun Koh, Chang-Su Kim:
Global and Local Enhancement Networks for Paired and Unpaired Image Enhancement. ECCV (25) 2020: 339-354
[c8]
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Han-Ul Kim, Yeong Jun Koh, Chang-Su Kim:
PieNet: Personalized Image Enhancement Network. ECCV (30) 2020: 374-390

2010 – 2019

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2019
[j3]
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Seon-Ho Lee, Han-Ul Kim, Chang-Su Kim:
ELF-Nets: Deep Learning on Point Clouds Using Extended Laplacian Filter. IEEE Access 7: 156569-156581 (2019)
[c7]
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Han-Ul Kim, Yeong Jun Koh, Chang-Su Kim:
Meta Learning for Unsupervised Clustering. BMVC 2019: 249
2018
[j2]
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Jun-Tae Lee, Han-Ul Kim, Chul Lee, Chang-Su Kim:
Photographic composition classification and dominant geometric element detection for outdoor scenes. J. Vis. Commun. Image Represent. 55: 91-105 (2018)
[c6]
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Minhyeok Heo, Jaehan Lee, Kyung-Rae Kim, Han-Ul Kim, Chang-Su Kim:
Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement. ECCV (4) 2018: 39-55
2017
[j1]
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Han-Ul Kim, Chang-Su Kim:
Locator-Checker-Scaler Object Tracking Using Spatially Ordered and Weighted Patch Descriptor. IEEE Trans. Image Process. 26(8): 3817-3830 (2017)
[c5]
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Han-Ul Kim, Chang-Su Kim:
PGT: Proposal-guided object tracking. APSIPA 2017: 1762-1767
[c4]
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Jun-Tae Lee, Han-Ul Kim, Chul Lee, Chang-Su Kim:
Semantic Line Detection and Its Applications. ICCV 2017: 3249-3257
2016
[c3]
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Han-Ul Kim, Chang-Su Kim:
CDT: Cooperative Detection and Tracking for Tracing Multiple Objects in Video Sequences. ECCV (6) 2016: 851-867
2015
[c2]
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Han-Ul Kim, Dae-Youn Lee, Jae-Young Sim, Chang-Su Kim:
SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking. ICCV 2015: 3011-3019
2014
[c1]
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Han-Ul Kim, Jin-Hwan Kim, Chang-Su Kim:
Hybrid representation and rendering of indoor environments using meshes and point clouds. URAI 2014: 289-291

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