Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound. - Heon Song; Daiki Suehiro; Seiichi Uchida (WACV, 2020)

AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee. - Heon Song; Daiki Suehiro; Seiichi Uchida (CoRR, 2020)

Meta-learning of Pooling Layers for Character Recognition. - Takato Otsuzuki; Heon Song; Seiichi Uchida; Hideaki Hayashi (ICDAR (3), 2021)

Interactive Multi-Class Tiny-Object Detection. - Chunggi Lee; Seonwook Park; Heon Song; Jeongun Ryu; Sanghoon Kim; Haejoon Kim; Sérgio Pereira; Donggeun Yoo (CVPR, 2022)

Variability Matters: Evaluating Inter-Rater Variability in Histopathology for Robust Cell Detection. - Cholmin Kang; Chunggi Lee; Heon Song; Minuk Ma; Sérgio Pereira (ECCV Workshops (7), 2022)

Unsupervised Deep Non-rigid Alignment by Low-Rank Loss and Multi-input Attention. - Takanori Asanomi; Kazuya Nishimura; Heon Song; Junya Hayashida; Hiroyuki Sekiguchi; Takayuki Yagi; Imari Sato; Ryoma Bise (MICCAI (6), 2022)

Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. - Mingu Kang; Heon Song; Seonwook Park; Donggeun Yoo; Sérgio Pereira (CVPR, 2023)

Bayesian Optimization Meets Self-Distillation. - HyunJae Lee; Heon Song; Hyeonsoo Lee; Gihyeon Lee; Suyeong Park; Donggeun Yoo (ICCV, 2023)

No regret sample selection with noisy labels. - Heon Song; Nariaki Mitsuo; Seiichi Uchida; Daiki Suehiro (Mach. Learn., 2024)

SCORPION: Addressing Scanner-Induced Variability in Histopathology. - Jeongun Ryu; Heon Song; Seungeun Lee; Soo Ick Cho; Jiwon Shin; Kyunghyun Paeng; Sérgio Pereira (CoRR, 2025)