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ORCIDJoongchol Shin
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- affiliation: Chung-Ang University, Seoul, South Korea
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Journal Articles
- 2022
[j8]Joongchol Shin
, Hasil Park, Joonki Paik:
Region-Based Dehazing via Dual-Supervised Triple-Convolutional Network. IEEE Trans. Multim. 24: 245-260 (2022)- 2021
- [j7]Joongchol Shin, Joonki Paik:
Photo-Realistic Image Dehazing and Verifying Networks via Complementary Adversarial Learning. Sensors 21(18): 6182 (2021) - 2020
- [j6]Joongchol Shin, Bonseok Koo, Yeongbin Kim, Joonki Paik:
Deep Binary Classification via Multi-Resolution Network and Stochastic Orthogonality for Subcompact Vehicle Recognition. Sensors 20(9): 2715 (2020) - [j5]Dasol Jeong, Hasil Park, Joongchol Shin, Donggoo Kang, Joonki Paik:
Uniformity Attentive Learning-Based Siamese Network for Person Re-Identification. Sensors 20(12): 3603 (2020) - [j4]Thierry Ntwari, Hasil Park, Joongchol Shin, Joonki Paik:
SNS-CF: Siamese Network with Spatially Semantic Correlation Features for Object Tracking. Sensors 20(17): 4881 (2020) - [j3]Eunjae Ha, Joongchol Shin, Joonki Paik:
Gated Dehazing Network via Least Square Adversarial Learning. Sensors 20(21): 6311 (2020) - [j2]Joongchol Shin, Minseo Kim, Joonki Paik, Sangkeun Lee:
Radiance-Reflectance Combined Optimization and Structure-Guided ℓ0-Norm for Single Image Dehazing. IEEE Trans. Multim. 22(1): 30-44 (2020) - 2019
- [j1]Yeongbin Kim, Joongchol Shin, Hasil Park, Joonki Paik:
Real-Time Visual Tracking with Variational Structure Attention Network. Sensors 19(22): 4904 (2019)
Conference and Workshop Papers
- 2023
- [c5]Heunseung Lim, Joongchol Shin, Jinsol Choi, Joonki Paik:
Dynamic Range Transformer (DRT): Learning Enhanced Log-Perceptual Information with Swin-Fourier Convolution Network for HDR Imaging. ICIP 2023: 3040-3044 - 2022
- [c4]Sangjae Ahn, Joongchol Shin, Heunseung Lim, Hayoon Kim, Joonki Paik:
Simultaneous Brightness and Contrast Enhancement Using Derived Inputs and Residual Squeeze Network. ICCE 2022: 1-2 - [c3]Jaehee Lee, Joongchol Shin, Heunseung Lim, Joonki Paik:
Deep High Dynamic Range Imaging without Motion Artifacts Using Global and Local Skip Connections. ICCE 2022: 1-2 - [c2]Junghoon Sung, Heunseung Lim, Joongchol Shin, Sangjae Ahn, Joonki Paik:
Low-light Enhancement Using Retinex-Decomposition Convolutional Neural Networks. ICCE 2022: 1-3 - 2018
- [c1]Joongchol Shin, Hasil Park, Joonki Paik:
Fire Recognition Using Spatio-Temporal Two-Stream Convolutional Neural Network with Fully Connected Layer-Fusion. ICCE-Berlin 2018: 1-3
Coauthor Index
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