| Reinforcement Learning-Based Black-Box Model Inversion Attacks G Han, J Choi, H Lee, J Kim IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023 | 38 | 2023 |
| 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 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 | 14 | 2023 |
| Deep Cross-Modal Steganography Using Neural Representations G Han, DJ Lee, J Hur, J Choi, J Kim IEEE International Conference on Image Processing (ICIP), 2023 | 11 | 2023 |
| Fix the Noise: Disentangling Source Feature for Controllable Domain Translation D Lee, JY Lee, D Kim, J Choi, J Yoo, J Kim IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) | AI4CC …, 2023 | 10* | 2023 |
| Few-Shot Anomaly Detection with Adversarial Loss for Robust Feature Representations JY Lee, W Lee, J Choi, Y Lee, YS Yoon The British Machine Vision Conference (BMVC), 2023 | 7 | 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 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 | 4 | 2024 |
| Data Poisoning Attack Aiming the Vulnerability of Continual Learning G Han, J Choi, HG Hong, J Kim IEEE International Conference on Image Processing (ICIP) | ML Safety@NeurIPS'22, 2023 | 4* | 2023 |
| TCX: Texture and channel swappings for domain generalization J Choi, HS Seong, S Park, JP Heo Pattern Recognition Letters 175, 74-80, 2023 | 2 | 2023 |
| 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 |
| Boundary-Recovering Network for Temporal Action Detection J Kim, J Choi, Y Jeon, JP Heo arXiv preprint arXiv:2408.09354, 2024 | 1 | 2024 |
| Modeling Stereo-Confidence Out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep JY Lee, W Ka, J Choi, J Kim AAAI Conference on Artificial Intelligence (AAAI), 2024 | 1 | 2024 |
| Pivot-Guided Embedding for Domain Generalization HS Seong, J Choi, W Jeong, JP Heo IEEE Access 10, 126858-126870, 2022 | 1 | 2022 |
| AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation J Choi, J Ko, DJ Lee, J Kim IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025 | | 2025 |
| Self-supervised Transformation Learning for Equivariant Representations J Yu, J Choi, DJ Lee, HG Hong, J Kim Conference on Neural Information Processing Systems (NeurIPS), 2024 | | 2024 |
| 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 Conference on Neural Information Processing Systems (NeurIPS), 2024 | | 2024 |
| PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model S Koh, C Lee, J Young Lee, J Choi, Y Yoon, C Lee, J Kim International Workshop on Shape in Medical Imaging (ShapeMI@MICCAI), 18-32, 2024 | | 2024 |
| Learning Neural Deformation Representation for 4D Dynamic Shape Generation G Han, J Hur, J Choi, J Kim European Conference on Computer Vision (ECCV), 2024 | | 2024 |
| Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency W Ka, JY Lee, J Choi, J Kim IEEE International Conference on Acoustics, Speech and Signal Processing …, 2024 | | 2024 |
Junmo KimSchool of Electrical Engineering, KAISTAdresă de e-mail confirmată pe kaist.ac.kr
