| Task discrepancy maximization for fine-grained few-shot classification SB Lee, WJ Moon, JP Heo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 55 | 2022 |
| Leveraging hidden positives for unsupervised semantic segmentation HS Seong, WJ Moon, SB Lee, JP Heo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 35 | 2023 |
| Correlation-guided query-dependency calibration in video representation learning for temporal grounding WJ Moon, S Hyun, SB Lee, JP Heo arXiv preprint arXiv:2311.08835, 2023 | 18 | 2023 |
| Task-Disruptive Background Suppression for Few-Shot Segmentation S Park, SB Lee, S Hyun, HS Seong, JP Heo Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), 4442-4449, 2024 | 4 | 2024 |
| Task-oriented channel attention for fine-grained few-shot classification SB Lee, WJ Moon, HS Seong, JP Heo arXiv preprint arXiv:2308.00093, 2023 | 1 | 2023 |
| Regularization with multiple feature combination for few-shot learning SB Lee, JH Park, JY Kim, SY Lee, JP Heo 2021 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2021 | 1 | 2021 |
| Mutually-Aware Feature Learning for Few-Shot Object Counting Y Jeon, S Lee, J Kim, JP Heo arXiv preprint arXiv:2408.09734, 2024 | | 2024 |
| Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation HS Seong, WJ Moon, SB Lee, JP Heo arXiv preprint arXiv:2407.12463, 2024 | | 2024 |
| Mitigating Background Shift in Class-Incremental Semantic Segmentation G Park, WJ Moon, SB Lee, TY Kim, JP Heo arXiv preprint arXiv:2407.11859, 2024 | | 2024 |
Jae-Pil HeoAssistant Professor, Department of Computer Science and Engineering, Sungkyunkwan University, Korea在 skku.edu 的电子邮件经过验证
