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Byeongyong Ahn
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2020 – today
- 2020
- [j4]Yoonsik Kim
, Jae Woong Soh
, Jaewoo Park
, Byeongyong Ahn, Hyun-Seung Lee, Young-Su Moon, Nam Ik Cho
:
A Pseudo-Blind Convolutional Neural Network for the Reduction of Compression Artifacts. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1121-1135 (2020)
2010 – 2019
- 2018
- [j3]Jae Woong Soh, Jaewoo Park, Yoonsik Kim, Byeongyong Ahn, Hyun-Seung Lee, Young-Su Moon, Nam Ik Cho
:
Reduction of Video Compression Artifacts Based on Deep Temporal Networks. IEEE Access 6: 63094-63106 (2018) - [c3]Byeongyong Ahn, Yoonsik Kim, Gu Yong Park, Nam Ik Cho:
Block-Matching Convolutional Neural Network (BMCNN): Improving CNN-Based Denoising by Block-Matched Inputs. APSIPA 2018: 516-525 - 2017
- [j2]Byeongyong Ahn, Jewoong Ryu, Hyung Il Koo, Nam Ik Cho:
Textline detection in degraded historical document images. EURASIP J. Image Video Process. 2017: 82 (2017) - [i2]Byeongyong Ahn, Nam Ik Cho:
Block-Matching Convolutional Neural Network for Image Denoising. CoRR abs/1704.00524 (2017) - [i1]Byeongyong Ahn, Nam Ik Cho:
Self-Commmittee Approach for Image Restoration Problems using Convolutional Neural Network. CoRR abs/1705.04528 (2017) - 2015
- [j1]Byeongyong Ahn, Hyung Il Koo, Hong Il Kim, Jichull Jeong, Nam Ik Cho
:
Efficient Unwrap Representation of Faces for Video Editing. IEEE Signal Process. Lett. 22(10): 1718-1722 (2015) - [c2]Joonyoung Ahn, Byeongyong Ahn, Jaehyun An, Hyung Il Koo, Nam Ik Cho
:
Fast approximate inverse filtering for reducing motion blur in liquid crystal display. ICSIPA 2015: 156-159 - 2014
- [c1]Byeongyong Ahn, Hyung Il Koo, Nam Ik Cho
:
Image registration algorithm based on regular sparse correspondences and SIFT. APSIPA 2014: 1-4
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