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Journal Articles
- 2020
[j1]Dongmin Kang, Yeonsik Jo
, Yeongwoo Nam, Jonghyun Choi:
Confidence Calibration for Incremental Learning. IEEE Access 8: 126648-126660 (2020)
Conference and Workshop Papers
- 2024
- [c4]Bumsoo Kim, Jinhyung Kim, Yeonsik Jo, Seung Hwan Kim:
Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders. AAAI 2024: 2732-2740 - 2023
- [c3]Bumsoo Kim, Yeonsik Jo, Jinhyung Kim, Seung-Hwan Kim:
Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pretraining. ICCV 2023: 2563-2572 - 2022
- [c2]Rodrigo Hormazabal, Changyoung Park, Soonyoung Lee, Sehui Han, Yeonsik Jo, Jaewan Lee, Ahra Jo, Seung Hwan Kim, Jaegul Choo, Moontae Lee, Honglak Lee:
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition. NeurIPS 2022 - 2021
- [c1]Yeonsik Jo, Se Young Chun, Jonghyun Choi:
Rethinking Deep Image Prior for Denoising. ICCV 2021: 5067-5076
Informal and Other Publications
- 2023
- [i5]Bumsoo Kim, Jinhyung Kim, Yeonsik Jo, Seung Hwan Kim:
Expediting Contrastive Language-Image Pretraining via Self-distilled Encoders. CoRR abs/2312.12659 (2023) - [i4]Bumsoo Kim, Yeonsik Jo, Jinhyung Kim, Seung Hwan Kim:
Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pretraining. CoRR abs/2312.12661 (2023) - [i3]Kwangrok Ryoo, Yeonsik Jo, Seungjun Lee, Mira Kim, Ahra Jo, Seung Hwan Kim, Seungryong Kim, Soonyoung Lee:
Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection. CoRR abs/2312.13822 (2023) - 2021
- [i2]Yeonsik Jo, Se Young Chun, Jonghyun Choi:
Rethinking Deep Image Prior for Denoising. CoRR abs/2108.12841 (2021) - 2019
- [i1]Dahyun Kim, Jihwan Bae, Yeonsik Jo, Jonghyun Choi:
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence. CoRR abs/1902.00829 (2019)
Coauthor Index
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