Hyeongmin Lee

According to our database, Hyeongmin Lee authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Nonlinear, Regularized, and Data-independent Modulation for Continuously Interactive Image Processing Network.

Hyeongmin Lee, Taeoh Kim, Hanbin Son, Sangwook Baek, Minsu Cheon, Sangyoun Lee

Int. J. Comput. Vis., January, 2024

CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment.

Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok, Sunghyun Cho

CoRR, 2024

UGPNet: Universal Generative Prior for Image Restoration.

Hwayoon Lee, Kyoungkook Kang, Hyeongmin Lee, Seung-Hwan Baek, Sunghyun Cho

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Exploring Discontinuity for Video Frame Interpolation.

Sangjin Lee, Hyeongmin Lee, Chajin Shin, Hanbin Son, Sangyoun Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Enhanced Standard Compatible Image Compression Framework Based on Auxiliary Codec Networks.

Hanbin Son, Taeoh Kim, Hyeongmin Lee, Sangyoun Lee

IEEE Trans. Image Process., 2022

Beyond Natural Motion: Exploring Discontinuity for Video Frame Interpolation.

Sangjin Lee, Hyeongmin Lee, Chajin Shin, Hanbin Son, Sangyoun Lee

CoRR, 2022

Expanded Adaptive Scaling Normalization for End to End Image Compression.

Chajin Shin, Hyeongmin Lee, Hanbin Son, Sangjin Lee, Dogyoon Lee, Sangyoun Lee

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Regularization Strategy for Point Cloud via Rigidly Mixed Sample.

Dogyoon Lee, Jaeha Lee, Junhyeop Lee, Hyeongmin Lee, Minhyeok Lee, Sungmin Woo, Sangyoun Lee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Smoother Network Tuning and Interpolation for Continuous-level Image Processing.

Hyeongmin Lee, Taeoh Kim, Hanbin Son, Sangwook Baek, Minsu Cheon, Sangyoun Lee

CoRR, 2020

Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks.

Hyeongmin Lee, Taeoh Kim, Hanbin Son, Sangwook Baek, Minsu Cheon, Sangyoun Lee

CoRR, 2020

Extrapolative-Interpolative Cycle-Consistency Learning For Video Frame Extrapolation.

Sangjin Lee, Hyeongmin Lee, Taeoh Kim, Sangyoun Lee

Proceedings of the IEEE International Conference on Image Processing, 2020

Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition.

Taeoh Kim, Hyeongmin Lee, MyeongAh Cho, Ho Seong Lee, Dong Heon Cho, Sangyoun Lee

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation.

Hyeongmin Lee, Taeoh Kim, Tae-Young Chung, Daehyun Pak, Yuseok Ban, Sangyoun Lee

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning Spatial Transform for Video Frame Interpolation.

Hyeongmin Lee, Taeoh Kim, Tae-Young Chung, Daehyun Pak, Yuseok Ban, Sangyoun Lee

CoRR, 2019

SF-CNN: A Fast Compression Artifacts Removal via Spatial-To-Frequency Convolutional Neural Networks.

Taeoh Kim, Hyeongmin Lee, Hanbin Son, Sangyoun Lee

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

N-RPN: Hard Example Learning For Region Proposal Networks.

MyeongAh Cho, Tae-Young Chung, Hyeongmin Lee, Sangyoun Lee

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

AHD: Thermal Image-Based Adaptive Hand Detection for Enhanced Tracking System.

Eungyeol Song, Hyeongmin Lee, Jaesung Choi, Sangyoun Lee

IEEE Access, 2018

Collabonet: Collaboration of Generative Models by Unsupervised Classification.

Hyeongmin Lee, Taeoh Kim, Eungyeol Song, Sangyoun Lee

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018