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Youngbae Hwang
Youngbae Hwang
Verified email at cbnu.ac.kr - Homepage
Title
Cited by
Cited by
Year
A holistic approach to cross-channel image noise modeling and its application to image denoising
S Nam, Y Hwang, Y Matsushita, SJ Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2016
2462016
Color transfer using probabilistic moving least squares
Y Hwang, JY Lee, I So Kweon, S Joo Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2014
1282014
Robust deep multi-modal learning based on gated information fusion network
J Kim, J Koh, Y Kim, J Choi, Y Hwang, JW Choi
Asian Conference on Computer Vision, 90-106, 2018
682018
Sensor noise modeling using the Skellam distribution: Application to the color edge detection
Y Hwang, JS Kim, IS Kweon
2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007
622007
Accurate motion estimation and high-precision 3d reconstruction by sensor fusion
Y Bok, Y Hwang, IS Kweon
Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007
432007
Application of artificial intelligence in capsule endoscopy: where are we now?
Y Hwang, J Park, YJ Lim, HJ Chun
Clinical endoscopy 51 (6), 547, 2018
402018
Difference-based image noise modeling using skellam distribution
Y Hwang, JS Kim, IS Kweon
IEEE transactions on pattern analysis and machine intelligence 34 (7), 1329-1341, 2011
372011
Semantic video segmentation: Exploring inference efficiency
S Tripathi, S Belongie, Y Hwang, T Nguyen
2015 International SoC Design Conference (ISOCC), 157-158, 2015
362015
A survey on deep learning based methods and datasets for monocular 3D object detection
S Kim, Y Hwang
Electronics 10 (4), 517, 2021
332021
GAN-based synthetic data augmentation for infrared small target detection
JH Kim, Y Hwang
IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022
322022
Recent development of computer vision technology to improve capsule endoscopy
J Park, Y Hwang, JH Yoon, MG Park, J Kim, YJ Lim, HJ Chun
Clinical endoscopy 52 (4), 328, 2019
252019
Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading
J Park, Y Hwang, JH Nam, DJ Oh, KB Kim, HJ Song, SH Kim, SH Kang, ...
PLoS One 15 (10), e0241474, 2020
242020
Efficient deep learning of image denoising using patch complexity local divide and deep conquer
I Hong, Y Hwang, D Kim
Pattern Recognition 96, 106945, 2019
242019
Memory-efficient parametric semiglobal matching
Y Lee, MG Park, Y Hwang, Y Shin, CM Kyung
IEEE Signal Processing Letters 25 (2), 194-198, 2017
232017
Development of a deep learning-based software for calculating cleansing score in small bowel capsule endoscopy
JH Nam, Y Hwang, DJ Oh, J Park, KB Kim, MK Jung, YJ Lim
Scientific reports 11 (1), 4417, 2021
222021
Detecting temporally consistent objects in videos through object class label propagation
S Tripathi, S Belongie, Y Hwang, T Nguyen
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016
222016
3D reconstruction of small bowel lesions using stereo camera-based capsule endoscopy
SJ Nam, YJ Lim, JH Nam, HS Lee, Y Hwang, J Park, HJ Chun
Scientific reports 10 (1), 6025, 2020
192020
Moving object detection and classification image analysis methods and systems
S Tripathi, K Chen, T Nguyen, Y Hwang
US Patent App. 15/872,378, 2018
172018
Corresponding image processing method for compensating colour
Y Hwang, J Kim, BH Choi
US Patent 8,620,070, 2013
172013
Probabilistic moving least squares with spatial constraints for nonlinear color transfer between images
Y Hwang, JY Lee, IS Kweon, SJ Kim
Computer Vision and Image Understanding 180, 1-12, 2019
162019
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Articles 1–20