| 2025 | ICLR | MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation. | Donggon Jang, Yucheol Cho, Suin Lee, Taehyeon Kim, Daeshik Kim |
| 2025 | MICCAI | Interpretable fMRI Captioning via Contrastive Learning. | Vyacheslav Shen, Kassymzhomart Kunanbayev, Donggon Jang, Daeshik Kim |
| 2023 | CVPR | Temporally Averaged Regression for Semi-Supervised Low-Light Image Enhancement. | Sunhyeok Lee, Donggon Jang, Dae-Shik Kim |
| 2022 | CVPR | Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix. | Donggon Jang, Sanghyeok Son, Dae-Shik Kim |
| 2022 | MICCAI | Accurate Hippocampus Segmentation Based on Self-supervised Learning with Fewer Labeled Data. | Kassymzhomart Kunanbayev, Donggon Jang, Woojin Jeong, Nahyun Kim, Dae-Shik Kim |
| 2022 | WACV | Learning Color Representations for Low-Light Image Enhancement. | Bomi Kim, Sunhyeok Lee, Nahyun Kim, Donggon Jang, Dae-Shik Kim |
| 2021 | BMVC | Unsupervised Image Denoising with Frequency Domain Knowledge. | Nahyun Kim, Donggon Jang, Sunhyeok Lee, Bomi Kim, Daeshik Kim |