| I see-through you: A framework for removing foreground occlusion in both sparse and dense light field images J Hur, JY Lee, J Choi, J Kim Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 14 | 2023 |
| Deep cross-modal steganography using neural representations G Han, DJ Lee, J Hur, J Choi, J Kim 2023 IEEE International Conference on Image Processing (ICIP), 1205-1209, 2023 | 11 | 2023 |
| Expanding expressiveness of diffusion models with limited data via self-distillation based fine-tuning J Hur, J Choi, G Han, DJ Lee, J Kim Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 4 | 2024 |
| Multi-scale foreground-background separation for light field depth estimation with deep convolutional networks JY Lee, J Hur, J Choi, RH Park, J Kim Pattern Recognition Letters 171, 138-147, 2023 | 2 | 2023 |
| Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance J Hur, DJ Lee, G Han, J Choi, Y Jeon, J Kim Advances in Neural Information Processing Systems 37, 130977-130999, 2025 | | 2025 |
| Learning Neural Deformation Representation for 4D Dynamic Shape Generation G Han, J Hur, J Choi, J Kim European Conference on Computer Vision, 186-203, 2024 | | 2024 |
| Unveiling Temporal Telltales: Are Unconditional Video Generation Models Implicitly Encoding Temporal Information? J Choi, G Han, J Hur, JY Lee, J Kim | | |
| Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning: Supplementary materials J Hur, J Choi, G Han, DJ Lee, J Kim | | |
