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Yeong Jun Koh

Showing results (1-10 of 13) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 10, 2017
Unsupervised Primary Object Discovery in Videos Based on Evolutionary Primary Object Modeling With Reliable Object ProposalsYeong Jun Koh, Chang-Su Kim
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 23, 2015
Video Stabilization Based on Feature Trajectory Augmentation and Selection and Robust Mesh Grid WarpingYeong Jun Koh, Chulwoo Lee, Chang-Su Kim
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 27, 2022
Blind and Compact Denoising Network Based on Noise Order LearningKeunsoo Ko, Yeong Jun Koh, Chang-Su Kim
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 2, 2021
Light Field Super-Resolution via Adaptive Feature RemixingKeunsoo Ko, Yeong Jun Koh, Soonkeun Chang, et al.
Iscience|March 9, 2026
Predicting DNA damage response using synthetic cell painting profiles and experimental analysisChaeyoung Seo, Hyemin Lim, Zanyue Piao, et al.
Journal of Personalized Medicine|December 23, 2023
Increased CD16a (FcγRIIIA) Expression in The Tumor Microenvironment of Atypical Neurofibromatous Neoplasms of Uncertain Biologic Potential May Be Associated with Progression from Neurofibromas to Atypical NeurofibromasMin-Kyung Yeo, Yeong Jun Koh, Jong-Il Park, et al.
Genetics, Selection, Evolution : GSE|July 31, 2023
deepGBLUP: joint deep learning networks and GBLUP framework for accurate genomic prediction of complex traits in Korean native cattleHyo-Jun Lee, Jun Heon Lee, Cedric Gondro, et al.
Meat Science|March 9, 2022
MSENet: Marbling score estimation network for automated assessment of Korean beefHyo-Jun Lee, Yeong Jun Koh, Young-Kuk Kim, et al.
Scientific Reports|June 14, 2022
Use of a graph neural network to the weighted gene co-expression network analysis of Korean native cattleHyo-Jun Lee, Yoonji Chung, Ki Yong Chung, et al.
Animals : an Open Access Journal From MDPI|January 22, 2021
Identification of Target Chicken Populations by Machine Learning Models Using the Minimum Number of SNPsDongwon Seo, Sunghyun Cho, Prabuddha Manjula, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 10, 2017
Unsupervised Primary Object Discovery in Videos Based on Evolutionary Primary Object Modeling With Reliable Object ProposalsYeong Jun Koh, Chang-Su Kim
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 23, 2015
Video Stabilization Based on Feature Trajectory Augmentation and Selection and Robust Mesh Grid WarpingYeong Jun Koh, Chulwoo Lee, Chang-Su Kim
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 27, 2022
Blind and Compact Denoising Network Based on Noise Order LearningKeunsoo Ko, Yeong Jun Koh, Chang-Su Kim
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 2, 2021
Light Field Super-Resolution via Adaptive Feature RemixingKeunsoo Ko, Yeong Jun Koh, Soonkeun Chang, et al.
Iscience|March 9, 2026
Predicting DNA damage response using synthetic cell painting profiles and experimental analysisChaeyoung Seo, Hyemin Lim, Zanyue Piao, et al.
Journal of Personalized Medicine|December 23, 2023
Increased CD16a (FcγRIIIA) Expression in The Tumor Microenvironment of Atypical Neurofibromatous Neoplasms of Uncertain Biologic Potential May Be Associated with Progression from Neurofibromas to Atypical NeurofibromasMin-Kyung Yeo, Yeong Jun Koh, Jong-Il Park, et al.
Genetics, Selection, Evolution : GSE|July 31, 2023
deepGBLUP: joint deep learning networks and GBLUP framework for accurate genomic prediction of complex traits in Korean native cattleHyo-Jun Lee, Jun Heon Lee, Cedric Gondro, et al.
Meat Science|March 9, 2022
MSENet: Marbling score estimation network for automated assessment of Korean beefHyo-Jun Lee, Yeong Jun Koh, Young-Kuk Kim, et al.
Scientific Reports|June 14, 2022
Use of a graph neural network to the weighted gene co-expression network analysis of Korean native cattleHyo-Jun Lee, Yoonji Chung, Ki Yong Chung, et al.
Animals : an Open Access Journal From MDPI|January 22, 2021
Identification of Target Chicken Populations by Machine Learning Models Using the Minimum Number of SNPsDongwon Seo, Sunghyun Cho, Prabuddha Manjula, et al.
Pageof 2