| Tokenmixup: Efficient attention-guided token-level data augmentation for transformers HJK Hyeong Kyu Choi, Joonmyung Choi Advances in Neural Information Processing Systems, 14224-14235, 2022 | 27 | 2022 |
| Read-only Prompt Optimization for Vision-Language Few-shot Learning HJK Dongjun Lee, Seokwon Song, Jihee Suh, Joonmyung Choi, Sanghyeok Lee Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 26 | 2023 |
| Video-text representation learning via differentiable weak temporal alignment D Ko, J Choi, J Ko, S Noh, KW On, ES Kim, HJ Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 21 | 2022 |
| Meltr: Meta loss transformer for learning to fine-tune video foundation models D Ko, J Choi, HK Choi, KW On, B Roh, HJ Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
| Concept bottleneck with visual concept filtering for explainable medical image classification I Kim, J Kim, J Choi, HJ Kim International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 2023 |
| Robust auxiliary learning with weighting function for biased data D Hwang, S Lee, J Choi, JK Rhee, HJ Kim Information Sciences 628, 307-319, 2023 | 1 | 2023 |
| vid-TLDR: Training Free Token merging for Light-weight Video Transformer J Choi, S Lee, J Chu, M Choi, HJ Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers S Lee, J Choi, HJ Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models (Supplementary Materials) D Ko, J Choi, HK Choi, KW On, B Roh, HJ Kim | | |
| Video-Text Representation Learning via Differentiable Weak Temporal Alignment (Supplement) D Ko, J Choi, J Ko, S Noh, KW On, ES Kim, HJ Kim | | |
