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ORCIDHidetsugu Uchida
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2020 – today
- 2024
[c16]Tetsushi Ohki, Narishige Abe, Hidetsugu Uchida, Shigefumi Yamada:
A Human-Centered Risk Evaluation of Biometric Systems Using Conjoint Analysis. IJCB 2024: 1-8- [c15]Kazuki Osamura, Hidetsugu Uchida, Shijie Nie, Narishige Abe:
Multi-Masked Prompt Learning For Clothing-Change Person Re-Identification. IJCB 2024: 1-8 - [i1]Tetsushi Ohki, Narishige Abe, Hidetsugu Uchida, Shigefumi Yamada:
A Human-Centered Risk Evaluation of Biometric Systems Using Conjoint Analysis. CoRR abs/2409.11224 (2024) - 2023
- [c14]Yumo Ouchi, Hidetsugu Uchida, Narishige Abe:
Privacy-Preserving Image Transformation Method for Person Detection and Re-ID. APSIPA ASC 2023: 1798-1803 - 2022
- [c13]Hidetsugu Uchida, Narishige Abe, Shigefumi Yamada:
DeDiM: De-identification using a diffusion model. BIOSIG 2022: 72-79 - [c12]Mengjiao Wang, Rujie Liu, Narishige Abe, Tomoaki Matsunami, Hidetsugu Uchida, Septiana Lina:
Sample-Level and Class-Level Adaptive Training for Face Recognition. ICME 2022: 1-6 - 2021
- [c11]Tomoaki Matsunami, Hidetsugu Uchida, Narishige Abe, Shigefumi Yamada:
Learning by Environment Cluster s for Face Presentation Attack Detection. BIOSIG 2021: 205-212
2010 – 2019
- 2019
- [c10]Meng Zhang, Rujie Liu, Hajime Nada, Hidetsugu Uchida, Tomoaki Matsunami, Narishige Abe:
A pairwise learning strategy for video-based face recognition. CVPR Workshops 2019 - [c9]Song Guo, Fei Li, Hajime Nada, Hidetsugu Uchida, Tomoaki Matsunami, Narishige Abe:
Face Alignment via 3D-Assisted Features. IMAWM 2019: 1-8 - [c8]Mengjiao Wang, Rujie Liu, Hajime Nada, Narishige Abe, Hidetsugu Uchida, Tomoaki Matsunami:
Improved Knowledge Distillation for Training Fast Low Resolution Face Recognition Model. ICCV Workshops 2019: 2655-2661 - 2018
- [c7]Mengjiao Wang, Rujie Liu, Narishige Abe, Hidetsugu Uchida, Tomoaki Matsunami, Shigefumi Yamada:
Discover the Effective Strategy for Face Recognition Model Compression by Improved Knowledge Distillation. ICIP 2018: 2416-2420 - 2017
- [c6]Hidetsugu Uchida, Daisuke Saito, Nobuaki Minematsu:
Acoustic-to-Articulatory Mapping Based on Mixture of Probabilistic Canonical Correlation Analysis. INTERSPEECH 2017: 989-993 - [c5]Tetsuya Hashimoto, Hidetsugu Uchida, Daisuke Saito, Nobuaki Minematsu:
Parallel-Data-Free Many-to-Many Voice Conversion Based on DNN Integrated with Eigenspace Using a Non-Parallel Speech Corpus. INTERSPEECH 2017: 1278-1282 - 2016
- [c4]Yi Yang, Hidetsugu Uchida, Daisuke Saito, Nobuaki Minematsu:
Voice Conversion Based on Matrix Variate Gaussian Mixture Model Using Multiple Frame Features. INTERSPEECH 2016: 302-306 - [c3]Hidetsugu Uchida, Daisuke Saito, Nobuaki Minematsu:
Prediction of the Articulatory Movements of Unseen Phonemes of a Speaker Using the Speech Structure of Another Speaker. INTERSPEECH 2016: 450-454 - 2015
- [c2]Hidetsugu Uchida, Daisuke Saito, Nobuaki Minematsu, Keikichi Hirose:
Statistical acoustic-to-articulatory mapping unified with speaker normalization based on voice conversion. INTERSPEECH 2015: 588-592 - 2014
- [c1]Hidetsugu Uchida, Kohei Wakamiya, Tokihiko Kaburagi:
A study on the improvement of measurement accuracy of the three-dimensional electromagnetic articulography. INTERSPEECH 2014: 726-730
Coauthor Index
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last updated on 2024-11-27 21:20 CET by the dblp team
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