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ORCIDJanghyeon Lee 0001
Person information
- affiliation: LG AI Research, Vision Lab, Seoul Korea
- affiliation: Korea Advanced Institute of Science and Technology, KAIST, School of Electrical Engineering, Daejeon, Korea
Other persons with the same name
- Janghyeon Lee (aka: JangHyeon Lee) — disambiguation page
- Janghyeon Lee 0002
![[0000-0002-3860-4470]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3860-4470")
— Kookmin University, Department of Mechanics and Design, Seoul, Korea - Janghyeon Lee 0003 (aka: JangHyeon Lee 0003) — University of Minnesota, Twin Cities, Minneapolis, MN, USA (and 1 more)
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2020 – today
- 2023
[c11]Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim:
Disposable Transfer Learning for Selective Source Task Unlearning. ICCV 2023: 11718-11726- [i6]Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim:
Disposable Transfer Learning for Selective Source Task Unlearning. CoRR abs/2308.09971 (2023) - 2022
- [c10]Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, Junmo Kim:
On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network. ECCV (12) 2022: 121-136 - [c9]Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim:
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. ECCV (33) 2022: 513-529 - [c8]Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Jinsu Yoo, Honglak Lee, Seung Hwan Kim:
Fully Convolutional Transformer with Local-Global Attention. IROS 2022: 552-559 - [c7]Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Junmo Kim:
Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion. IROS 2022: 8360-8367 - [c6]Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim:
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training. NeurIPS 2022 - [c5]Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim:
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. WACV 2022: 3421-3430 - [i5]Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim:
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. CoRR abs/2208.08112 (2022) - [i4]Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim:
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training. CoRR abs/2209.13430 (2022) - 2021
- [c4]Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim:
Patch-Wise Attention Network for Monocular Depth Estimation. AAAI 2021: 1873-1881 - [i3]Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim:
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. CoRR abs/2104.11435 (2021) - 2020
- [j2]Sihaeng Lee, Janghyeon Lee, Doyeon Kim, Junmo Kim:
Deep Architecture With Cross Guidance Between Single Image and Sparse LiDAR Data for Depth Completion. IEEE Access 8: 79801-79810 (2020) - [j1]Doyeon Kim, Sihaeng Lee, Janghyeon Lee, Junmo Kim:
Leveraging Contextual Information for Monocular Depth Estimation. IEEE Access 8: 147808-147817 (2020) - [c3]Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim:
Residual Continual Learning. AAAI 2020: 4553-4560 - [c2]Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim:
Continual Learning With Extended Kronecker-Factored Approximate Curvature. CVPR 2020: 8998-9007 - [i2]Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim:
Residual Continual Learning. CoRR abs/2002.06774 (2020) - [i1]Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim:
Continual Learning with Extended Kronecker-factored Approximate Curvature. CoRR abs/2004.07507 (2020)
2010 – 2019
- 2017
- [c1]Jaemyung Lee, Sihaeng Lee, Youngdong Kim, Janghyeon Lee, Junmo Kim:
Refine pedestrian detections by referring to features in different ways. Intelligent Vehicles Symposium 2017: 418-423
Coauthor Index
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