About Ho Seong Lee
Hoseong Lee received the B.S. degrees, in Electrical and Computer Engineering from Seoul National University, Seoul, Korea, in 2016.
Hoseong Lee received the M.S. degrees, in Electrical and Computer Engineering from Seoul National University, Seoul, Korea, in 2018.
In 2018, he joined the SUALAB.,Seoul, Korea, as a Machine Learning Engineer.
His research interests include algorithm and architecture for image recognition, image processing using deep learning.
"Single Image Super Resolution Overview"
"2019 ICLR Best Paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" Review"
"2019 CVPR Paper Statistics & Paper Review"
"Pelee: a real time object detection system on mobile devices, 2018 NeurIPS" Paper Review
"How does batch normalization help optimization, 2018 NeurIPS" Paper Review
"Simple Does It: weakly supervised instance and semantic segmentation, 2017 CVPR" Paper Review
"From image level to pixel-level labeling with convolutional networks, 2015 CVPR" Paper Review
"Dataset and metrics for predicting local visible differences, 2018 SIGGRAPH" Paper Review
"Learning From Noisy Large-Scale Datasets With Minimal Supervision, 2017 CVPR" Paper Review
"Learning transferable architectures for scalable image recognition, 2018 CVPR" Paper Review
"Searching for Activation Functions, 2018 ICLR" Paper Review
"Google Vizier: A Service for Black-Box Optimization, 2017 KDD" Paper Review
Lecturer of Object Detection Workshop, in FastCampus, 2018.10 ~ 2019.5
TA of Digital System Design and Experiments(디지털 시스템 설계 및 실습) , in SNUECE(서울대학교 전기정보공학부), 2017.9 ~ 2017.12
TA of Digital System Design and Experiments(디지털 시스템 설계 및 실습) , in SNUECE(서울대학교 전기정보공학부), 2016.9 ~ 2016.12
Donghyeon Lee, Sangheon Lee, Ho Seong Lee, Kyujoong Lee, and Hyuk-Jae Lee, “Context-Preserving Filter Reorganization for VDSR-Based Super-resolution," IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Mar. 2019.
이호성, "CNN 및 Edge detection 기반
고속 손 동작 인식", 서울대학교 전기정보공학부 석사학위논문(Thesis), Feb. 2018
Ho Seong Lee, Donghyeon Lee, Jinsung Kim, and Hyuk-Jae Lee, "Fast Hand Gesture Recognition with CNN and Feature Matching", 30th Workshop on Image Processing and Image Understanding, Feb. 2018 (Best Paper)
이호성, 이동현, 김진성, 이혁재, “임베디드 보드 환경에서의 효율적인 손 인식 및 추적 방법에 대한 연구”, 제25회 한국반도체학술대회, Feb. 2018
Donghyeon Lee, Ho Seong Lee, Kyujoong Lee, and Hyuk-Jae Lee, "Super-Resolution을 위한 Deconvolution 적용 고속 컨볼루션 뉴럴 네트워크," 한국멀티미디어학회 논문지, Volume: 20, Issue: 11, Pages: 1750-1758, Nov. 2017.
이호성, 이동현, 이규중, 이혁재, “CNN 알고리즘의 하드웨어 구현을 위한 고정 소수점 모델 구현 및 성능 분석,” 2017년도 대한전자공학회 하계종합학술대회, June. 2017
Donghyeon Lee, Ho Seong Lee, Hyun Kim, Jin-Sung Kim, and Hyuk-Jae Lee, “An Evenly Distributed Points based Hand Tracking Method,” International Technical Conference on Circuits/Systems, Computers and Communications, July. 2017
이호성, 이동현, 김진성, 이혁재, "Markov Model 기반 손 제스처 인식 알고리즘", SoC 학술대회, May, 2017
If you have questions about the post, feel free to email me or create an issue on GitHub. Enjoy!