入江豪

イリエゴウ | Irie Go

所属機関・部署：
職名：准教授

研究分野 (2件)：知能情報学 , 知能情報学

論文 (17件)：

Shunsuke Yoneda, Go Irie, Masashi Nishiyama. Canonical Plane Segmentation Without Annotating Pixel-Level Object Regions for Image Registration. IEEE Access. 2024. 12. 39484-39494
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li 0001, Hai Li 0001, et al. Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. CoRR. 2024. abs/2407.21794
Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa. Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?. CoRR. 2023. abs/2310.00847
Qing Yu, Go Irie, Kiyoharu Aizawa. Open-Set Domain Adaptation with Visual-Language Foundation Models. CoRR. 2023. abs/2307.16204
Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa. LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning. CoRR. 2023. abs/2306.01293

MISC (9件)：

白幡十佳知, 米田駿介, 入江豪, 西山正志, 岩井儀雄. クラスラベルと微少量の前景マスクを用いた物体の前景・姿勢・種類のトリプレット学習を行うネットワークの提案. 動的画像処理実利用化ワークショップ講演論文集(CD-ROM). 2024. 2024
Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa. Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. CoRR. 2022. abs/2210.12681
Yu Mitsuzumi, Go Irie, Daiki Ikami, Takashi Shibata 0001. Generalized Domain Adaptation. CoRR. 2021. abs/2106.01656
Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa. Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning. CoRR. 2020. abs/2007.11330
Onkar Krishna, Kiyoharu Aizawa, Go Irie. Computational Attention System for Children, Adults and Elderly. CoRR. 2019. abs/1904.12628

講演・口頭発表等 (42件)：

Self-Labeling Framework for Novel Category Discovery over Domains.
(AAAI 2022)
Deep Segmentation Network Without Mask Image Supervision for 2D Image Registration.
(Frontiers of Computer Vision - 28th International Workshop(IW-FCV) 2022)
Co-Attention-Guided Bilinear Model for Echo-Based Depth Estimation.
(ICASSP 2022)
Generalized Domain Adaptation.
(IEEE Conference on Computer Vision and Pattern Recognition(CVPR) 2021)
Disentangling Subject-Dependent/-Independent Representations for 2D Motion Retargeting.
(IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP) 2021)

学位 (1件)：

経歴 (2件)：

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入江 豪