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Heon Song
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2020 – today
- 2024
- [j1]Heon Song, Nariaki Mitsuo, Seiichi Uchida, Daiki Suehiro
:
No regret sample selection with noisy labels. Mach. Learn. 113(3): 1163-1188 (2024) - 2023
- [c7]Mingu Kang, Heon Song, Seonwook Park
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. CVPR 2023: 3344-3354 - [c6]HyunJae Lee, Heon Song, Hyeonsoo Lee, Gihyeon Lee, Suyeong Park, Donggeun Yoo:
Bayesian Optimization Meets Self-Distillation. ICCV 2023: 1696-1705 - [i6]HyunJae Lee, Heon Song, Hyeonsoo Lee, Gihyeon Lee, Suyeong Park, Donggeun Yoo:
Bayesian Optimization Meets Self-Distillation. CoRR abs/2304.12666 (2023) - 2022
- [c5]Chunggi Lee, Seonwook Park
Interactive Multi-Class Tiny-Object Detection. CVPR 2022: 14116-14125 - [c4]Cholmin Kang
Variability Matters: Evaluating Inter-Rater Variability in Histopathology for Robust Cell Detection. ECCV Workshops (7) 2022: 552-565 - [c3]Takanori Asanomi, Kazuya Nishimura, Heon Song, Junya Hayashida, Hiroyuki Sekiguchi, Takayuki Yagi, Imari Sato, Ryoma Bise:
Unsupervised Deep Non-rigid Alignment by Low-Rank Loss and Multi-input Attention. MICCAI (6) 2022: 185-195 - [i5]Chunggi Lee, Seonwook Park
Interactive Multi-Class Tiny-Object Detection. CoRR abs/2203.15266 (2022) - [i4]Cholmin Kang, Chunggi Lee, Heon Song, Minuk Ma, Sérgio Pereira:
Variability Matters : Evaluating inter-rater variability in histopathology for robust cell detection. CoRR abs/2210.05175 (2022) - [i3]Mingu Kang, Heon Song, Seonwook Park
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. CoRR abs/2212.04690 (2022) - 2021
- [c2]Takato Otsuzuki, Heon Song, Seiichi Uchida
Meta-learning of Pooling Layers for Character Recognition. ICDAR (3) 2021: 188-203 - [i2]Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi:
Meta-learning of Pooling Layers for Character Recognition. CoRR abs/2103.09528 (2021) - 2020
- [c1]Heon Song, Daiki Suehiro, Seiichi Uchida:
Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound. WACV 2020: 670-678 - [i1]Heon Song, Daiki Suehiro, Seiichi Uchida:
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee. CoRR abs/2009.09237 (2020)
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