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 | 264 | 2016 |
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 | 132 | 2014 |
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 | 70 | 2018 |
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 | 62 | 2007 |
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 | 42 | 2007 |
Application of artificial intelligence in capsule endoscopy: where are we now? Y Hwang, J Park, YJ Lim, HJ Chun Clinical endoscopy 51 (6), 547-551, 2018 | 40 | 2018 |
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 | 39 | 2022 |
A survey on deep learning based methods and datasets for monocular 3D object detection S Kim, Y Hwang Electronics 10 (4), 517, 2021 | 38 | 2021 |
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 | 37 | 2011 |
Semantic video segmentation: Exploring inference efficiency S Tripathi, S Belongie, Y Hwang, T Nguyen 2015 International SoC Design Conference (ISOCC), 157-158, 2015 | 36 | 2015 |
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), 328-333, 2019 | 28 | 2019 |
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 | 25 | 2021 |
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 | 25 | 2020 |
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 | 24 | 2019 |
Memory-efficient parametric semiglobal matching Y Lee, MG Park, Y Hwang, Y Shin, CM Kyung IEEE Signal Processing Letters 25 (2), 194-198, 2017 | 23 | 2017 |
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 | 22 | 2016 |
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 | 21 | 2020 |
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 | 19 | 2018 |
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 | 17 | 2019 |
Corresponding image processing method for compensating colour Y Hwang, J Kim, BH Choi US Patent 8,620,070, 2013 | 17 | 2013 |