| 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 | ICLR | TexTailor: Customized Text-aligned Texturing via Effective Resampling. | Suin Lee, Daeshik Kim |
| 2025 | MICCAI | Interpretable fMRI Captioning via Contrastive Learning. | Vyacheslav Shen, Kassymzhomart Kunanbayev, Donggon Jang, Daeshik Kim |
| 2024 | WACV | Robust Unsupervised Domain Adaptation through Negative-View Regularization. | Joonhyeok Jang, Sunhyeok Lee, Seonghak Kim, Jung-Un Kim, Seonghyun Kim, Daeshik Kim |
| 2021 | BMVC | Unsupervised Image Denoising with Frequency Domain Knowledge. | Nahyun Kim, Donggon Jang, Sunhyeok Lee, Bomi Kim, Daeshik Kim |
| 2020 | WACV | MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding. | Geondo Park, Chihye Han, Daeshik Kim, Wonjun Yoon |
| 2019 | BMVC | Progressive Face Super-Resolution via Attention to Facial Landmark. | Deokyun Kim, Minseon Kim, Gihyun Kwon, Daeshik Kim |
| 2019 | IJCNN | Representation of white- and black-box adversarial examples in deep neural networks and humans: A functional magnetic resonance imaging study. | Chihye Han, Wonjun Yoon, Gihyun Kwon, Daeshik Kim, Seungkyu Nam |
| 2019 | MICCAI | Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks. | Gihyun Kwon, Chihye Han, Daeshik Kim |