Donggon Jang

According to our database, Donggon Jang authored at least 7 papers between 2021 and 2023.

Collaborative distances:

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

2023

Maximizing Discrimination Capability of Knowledge Distillation with Energy-based Score.

Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim

CoRR, 2023

Temporally Averaged Regression for Semi-Supervised Low-Light Image Enhancement.

Sunhyeok Lee, Donggon Jang, Dae-Shik Kim

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

2022

A Multiple-State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning.

Ji-Man Yu, Gyeongdo Ham, Chungryeol Lee, Jae-Hyeok Lee, Joon-Kyu Han, Jin-Ki Kim, Donggon Jang, Nahyun Kim, Moon-Seok Kim, Sung Gap Im, Dae-Shik Kim, Yang-Kyu Choi

Adv. Intell. Syst., 2022

Learning Color Representations for Low-Light Image Enhancement.

Bomi Kim, Sunhyeok Lee, Nahyun Kim, Donggon Jang, Dae-Shik Kim

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Accurate Hippocampus Segmentation Based on Self-supervised Learning with Fewer Labeled Data.

Kassymzhomart Kunanbayev, Donggon Jang, Woojin Jeong, Nahyun Kim, Dae-Shik Kim

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix.

Donggon Jang, Sanghyeok Son, Dae-Shik Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Unsupervised Image Denoising with Frequency Domain Knowledge.

Nahyun Kim, Donggon Jang, Sunhyeok Lee, Bomi Kim, Daeshik Kim

Proceedings of the 32nd British Machine Vision Conference 2021, 2021