Donggon Jang

14 papers A* 1A 2Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generality-aware self-supervised transformer for multivariate time series anomaly detection.
Appl. Intell.
Yucheol Cho, Jae-Hyeok Lee, Gyeongdo Ham, Donggon Jang, Dae-Shik Kim
2025 — conf
Interpretable fMRI Captioning via Contrastive Learning.
MICCAI (14)
Vyacheslav Shen, Kassymzhomart Kunanbayev, Donggon Jang, Daeshik Kim
2025 A* conf
MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation.
ICLR
Donggon Jang, Yucheol Cho, Suin Lee, Taehyeon Kim, Daeshik Kim
2025 J jnl
MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation.
CoRR
Donggon Jang, Yucheol Cho, Suin Lee, Taehyeon Kim, Dae-Shik Kim
2024 J jnl
Energy-Based Domain Adaptation Without Intermediate Domain Dataset for Foggy Scene Segmentation.
IEEE Trans. Image Process.
Donggon Jang, Sunhyeok Lee, Gyuwon Choi, Yejin Lee, Sanghyeok Son, Dae-Shik Kim
2024 J jnl
Maximizing discrimination capability of knowledge distillation with energy function.
Knowl. Based Syst.
Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim
2023 J jnl
Maximizing Discrimination Capability of Knowledge Distillation with Energy-based Score.
CoRR
Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim
2023 — conf
Temporally Averaged Regression for Semi-Supervised Low-Light Image Enhancement.
CVPR Workshops
Sunhyeok Lee, Donggon Jang, Dae-Shik Kim
2022 J jnl
A Multiple-State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning.
Adv. Intell. Syst.
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
2022 — conf
Accurate Hippocampus Segmentation Based on Self-supervised Learning with Fewer Labeled Data.
MLCN@MICCAI
Kassymzhomart Kunanbayev, Donggon Jang, Woojin Jeong, Nahyun Kim, Dae-Shik Kim
2022 A conf
Learning Color Representations for Low-Light Image Enhancement.
WACV
Bomi Kim, Sunhyeok Lee, Nahyun Kim, Donggon Jang, Dae-Shik Kim
2022 — conf
Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix.
CVPR Workshops
Donggon Jang, Sanghyeok Son, Dae-Shik Kim
2021 A conf
Unsupervised Image Denoising with Frequency Domain Knowledge.
BMVC
Nahyun Kim, Donggon Jang, Sunhyeok Lee, Bomi Kim, Daeshik Kim
2021 J jnl
Unsupervised Image Denoising with Frequency Domain Knowledge.
CoRR
Nahyun Kim, Donggon Jang, Sunhyeok Lee, Bomi Kim, Dae-Shik Kim