Ikami, Daiki

8 publications

WACV 2023 Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

AAAI 2022 Self-Labeling Framework for Novel Category Discovery over Domains Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

WACV 2021 Constrained Weight Optimization for Learning Without Activation Normalization Daiki Ikami, Go Irie, Takashi Shibata

CVPR 2021 Generalized Domain Adaptation Yu Mitsuzumi, Go Irie, Daiki Ikami, Takashi Shibata

IJCAI 2021 Learning with Selective Forgetting Takashi Shibata, Go Irie, Daiki Ikami, Yu Mitsuzumi

ECCV 2020 Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

CVPRW 2019 Multi-Task Learning Based on Separable Formulation of Depth Estimation and Its Uncertainty Akari Asai, Daiki Ikami, Kiyoharu Aizawa

CVPR 2017 Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa