| Rethinking deep image prior for denoising Y Jo, SY Chun, J Choi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 44 | 2021 |
| Incremental learning with maximum entropy regularization: Rethinking forgetting and intransigence D Kim, J Bae, Y Jo, J Choi arXiv preprint arXiv:1902.00829, 2019 | 17 | 2019 |
| Flexible fashion product retrieval using multimodality-based deep learning Y Jo, J Wi, M Kim, JY Lee Applied Sciences 10 (5), 1569, 2020 | 9 | 2020 |
| CEDe: A collection of expert-curated datasets with atom-level entity annotations for optical chemical structure recognition R Hormazabal, C Park, S Lee, S Han, Y Jo, J Lee, A Jo, SH Kim, J Choo, ... Advances in Neural Information Processing Systems 35, 27114-27126, 2022 | 7 | 2022 |
| Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pre-training B Kim, Y Jo, J Kim, S Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Confidence calibration for incremental learning D Kang, Y Jo, Y Nam, J Choi IEEE Access 8, 126648-126660, 2020 | 3 | 2020 |
| Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders B Kim, J Kim, Y Jo, SH Kim Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2732-2740, 2024 | | 2024 |
| Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection K Ryoo, Y Jo, S Lee, M Kim, A Jo, SH Kim, S Kim, S Lee arXiv preprint arXiv:2312.13822, 2023 | | 2023 |
