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2020 – today
- 2023
[j6]JaeMyung Huh
, JangHo Bae, Donghyeon Lee, Jaewon Kwak, Chanyoung Moon, Chulwhan Im, Yeonho Ko, Tae Koo Kang, Daehie Hong:
Deep Learning-Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm. IEEE Access 11: 38047-38060 (2023)- 2022
- [j5]Jun Ho Chung, Dong Won Kim, Tae Koo Kang, Myo Taeg Lim:
ADM-Net: attentional-deconvolution module-based net for noise-coupled traffic sign recognition. Multim. Tools Appl. 81(16): 23373-23397 (2022) - 2021
- [j4]Sang-Kyoo Park, Jun Ho Chung, Tae Koo Kang, Myo Taeg Lim:
Binary dense sift flow based two stream CNN for human action recognition. Multim. Tools Appl. 80(28-29): 35697-35720 (2021) - 2020
- [j3]Jun Ho Chung, Dong Won Kim, Tae Koo Kang, Myo Taeg Lim:
Traffic Sign Recognition in Harsh Environment Using Attention Based Convolutional Pooling Neural Network. Neural Process. Lett. 51(3): 2551-2573 (2020)
2010 – 2019
- 2019
- [j2]Dong Sung Pae, Chi Gun An, Tae Koo Kang, Myo Taeg Lim:
Advanced digital image stabilization using similarity-constrained optimization. Multim. Tools Appl. 78(12): 16489-16506 (2019) - [c1]Min-Seop Lee, Ye Ri Cho, Yun Kyu Lee, Dong Sung Pae, Myo Taeg Lim, Tae Koo Kang:
PPG and EMG Based Emotion Recognition using Convolutional Neural Network. ICINCO (1) 2019: 595-600 - 2018
- [j1]Oung Tak You, Dong Sung Pae, Sung Hee Kim, Kyeong Eun Kim, Myo Taeg Lim, Tae Koo Kang:
Pattern matching for industrial object recognition using geometry-based vector mapping descriptors. Pattern Anal. Appl. 21(4): 1167-1183 (2018)
Coauthor Index
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