Kyungdeuk Ko

I am studying various signal processing fields using artificial intelligence technology. I experienced signal classification using CNN, signal generation using GAN, and time series data analysis using RNN. Also, I pursue various experiences such as learning web development through internships and education.

Education

Skills

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• Deep Leanring & Artificial Intelligence
• Generative Adversarial Networks (GAN)
• Signal Processing & Signal Classification
• Web Development

Interests

I have been playing basketball as a hobby since I was in middle school. I sometimes participated in competitions with my friends. As a result, I participated in the high school basketball tournament and finished second. In university, I joined a basketball club and participated in the contest as an entry. I played the role of president when I was in third grade, and I won the competition before I graduated.

I travel both domestic and overseas during vacation. I like to visit famous restaurants in Korea by train. Also, I like to go abroad and eat the country's food. Overseas countries and cities that have traveled so far include Italy, Japan, China, Hong Kong, India, Hawaii and Canada.

Publications

1. Kyungdeuk Ko, Jaihyun Park, David K. Han, and Hanseok Ko, "Channel and Frequency Attention Module for Diverse Animal Sound Classification," IEICE Transactions on Information and Systems, Vol.E102-D, No.12, pp.2615-2618, Dec, 2019
2. Donghyeon Kim, Kyungdeuk Ko, David K. Han, and Hanseok Ko, "Discriminatory and Orthogonal Feature Learning for Noise Robust Keyword Spotting," IEEE Signal Processing Letters, 2022
3. Bokyeung Lee, Kyungdeuk Ko, Jonghwan Hong, Bonhwa Ku, and Hanseok Ko, "Information Bottleneck Measurement for Compressed Sensing Image Reconstruction," IEEE Signal Processing Letters, 2022
4. Bokyeung Lee, Kyungdeuk Ko, Jonghwan Hong, and Hanseok Ko, "Domain-Agnostic Single-Image Super-Resolution via a Meta-Transfer Neural Architecture Search," Neurocomputing, 2023
5. Kyungdeuk Ko, Bokyeung Lee, Jonghwan Hong, Donghyeon Kim, and Hanseok Ko, "MRIFlow: Magnetic Resonance Image Super-Resolution based on Normalizing Flow and Frequency Prior," Journal of Magnetic Resonance, 2023
6. Jonghwan Hong, Bokyeung Lee, Kyungdeuk Ko, and Hanseok Ko, "Fast non-local attention network for light super-resolution," Journal of Visual Communication and Image Representation, 2023

1. Kyungdeuk Ko, Sangwook Park, and Hanseok Ko, "Convolutional Feature Vectors and Support Vector Machine for Animal Sound Classification," International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA, 2018
2. Kyungdeuk Ko, Bokyeung Lee, Jonghwan Hong, David Han and Hanseok Ko, "Deep Degradation Prior for Real-World Super-Resolution," The British Machine Vision Conference (BMVC), Virtual, 2021
3. Kyungdeuk Ko, Culwon Choi, and Hanseok Ko, "Augmenting Training Dataset with Real Noise Environment for Classification of Exotic and Endangered Animal Sound", in International Congress on Acoustics (ICA), 2022
4. Chulwon Choi, Kyungdeuk Ko, and Hanseok Ko, "Animal Sound Separation with an Unknown Number of Sources", in International Congress on Acoustics (ICA), 2022
5. Donghyeon Kim, Kyungdeuk Ko, Gwantae Kim, and Hanseok Ko, "Knowledge Distillation Learning for the Lightweight Dynamic Convolution in Keyword Spotting" in International Congress on Acoustics (ICA), 2022
6. Kyungdeuk Ko, Bokyeung Lee, Donghyeon Kim, Jonghwan Hong, and Hanseok Ko, "Open Set Bioacoustic Signal Classification based on Class Anchor Clustering with Closed Set Unknown Bioacoustic Signals," International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023
7. Donghyeon Kim, Kyungdeuk Ko, Jeonggi Kwak, David K Han, and Hanseok Ko, "A Lightweight Dynamic Filter for Keyword Spotting," IEEE International Conference on Aoucstics, Speech and Signal Processing Workshops (ICASSPW), 2023
8. Bokyeung Lee, Kyungdeuk Ko, Jonghwan Hong, and Hanseok Ko, "Hard Sample-aware Consistency for Low-resolution Facial Expression Recognition", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 (Oral)

1. 박상욱, 고경득, 고한석, "양서류 울음소리 식별을 위한 특징 벡터 및 인식 알고리즘 성능 분석", 한국음향학회지, 제36권, 6호, pp.401-406, November, 2017
2. 고경득, 박상욱, 고한석, "공분산과 모듈로그램을 이용한 콘볼루션 신경망 기반 양서류 울음소리 구별", 한국음향학회지, 제37권, 제 1호, pp.60-65, January, 2018
3. Alzahra Badi, 고경득, 고한석, "PNCC와 Robust Mel-log Filter Bank 특징을 결합한 조류 울음소리 분류," 한국음향학회지, 제38권, 1호, pp.39-46, January, 2019

1. 고경득, 박상욱, 고한석, "RNN을 이용한 장-단기 음향 이벤트 신호 분류," 제35회 음성통신 및 신호처리 학술대회 논문집, pp. 16, August, 2018
2. 고경득, 고한석, "GAN을 이용한 양서류 울음소리 데이터 증대," 제 36회 음성통신 및 신호처리 학술대회 논문집, pp. 37, August, 2019
3. 김용민, 고경득, 최철원, 고한석, "트랜스포머를 기반으로 한 외래동물 음향 판별 모델," 2023 한국환경생물학회 춘계학술대회, pp. 193, April, 2023