Misalignment-Robust Pedestrian Detection Framework for Visible and Far-Infrared Image Pairs. - Takashi Shibata 001; Azusa Sawada (ICCE, 2019)

Overcoming Labeling Ability for Latent Positives: Automatic Label Correction along Data Series. - Azusa Sawada; Takashi Shibata 001 (ICPRAM, 2019)

Trade-offs in Top-k Classification Accuracies on Losses for Deep Learning. - Azusa Sawada; Eiji Kaneko; Kazutoshi Sagi (CoRR, 2020)

Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series. - Azusa Sawada; Taiki Miyagawa; Akinori F. Ebihara; Shoji Yachida; Toshinori Hosoi (IJCNN, 2022)

PostAugment: Adversarial Data Augmentation with Hard Sample Suppression by Incorrect Class Likelihood. - Azusa Sawada; Takashi Shibata 001; Keiko Yokoyama; Shoji Yachida; Toshinori Hosoi (ICPR (10), 2024)