A study on the improvement of measurement accuracy of the three-dimensional electromagnetic articulography. - Hidetsugu Uchida; Kohei Wakamiya; Tokihiko Kaburagi (INTERSPEECH, 2014)

Statistical acoustic-to-articulatory mapping unified with speaker normalization based on voice conversion. - Hidetsugu Uchida; Daisuke Saito; Nobuaki Minematsu; Keikichi Hirose (INTERSPEECH, 2015)

Prediction of the Articulatory Movements of Unseen Phonemes of a Speaker Using the Speech Structure of Another Speaker. - Hidetsugu Uchida; Daisuke Saito; Nobuaki Minematsu (INTERSPEECH, 2016)

Voice Conversion Based on Matrix Variate Gaussian Mixture Model Using Multiple Frame Features. - Yi Yang; Hidetsugu Uchida; Daisuke Saito; Nobuaki Minematsu (INTERSPEECH, 2016)

Parallel-Data-Free Many-to-Many Voice Conversion Based on DNN Integrated with Eigenspace Using a Non-Parallel Speech Corpus. - Tetsuya Hashimoto; Hidetsugu Uchida; Daisuke Saito; Nobuaki Minematsu (INTERSPEECH, 2017)

Acoustic-to-Articulatory Mapping Based on Mixture of Probabilistic Canonical Correlation Analysis. - Hidetsugu Uchida; Daisuke Saito; Nobuaki Minematsu (INTERSPEECH, 2017)

Discover the Effective Strategy for Face Recognition Model Compression by Improved Knowledge Distillation. - Mengjiao Wang 001; Rujie Liu; Narishige Abe; Hidetsugu Uchida; Tomoaki Matsunami; Shigefumi Yamada (ICIP, 2018)

A pairwise learning strategy for video-based face recognition. - Meng Zhang; Rujie Liu; Hajime Nada; Hidetsugu Uchida; Tomoaki Matsunami; Narishige Abe (CVPR Workshops, 2019)

Face Alignment via 3D-Assisted Features. - Song Guo; Fei Li; Hajime Nada; Hidetsugu Uchida; Tomoaki Matsunami; Narishige Abe (IMAWM, 2019)

Improved Knowledge Distillation for Training Fast Low Resolution Face Recognition Model. - Mengjiao Wang 001; Rujie Liu; Hajime Nada; Narishige Abe; Hidetsugu Uchida; Tomoaki Matsunami (ICCV Workshops, 2019)

Learning by Environment Cluster s for Face Presentation Attack Detection. - Tomoaki Matsunami; Hidetsugu Uchida; Narishige Abe; Shigefumi Yamada (BIOSIG, 2021)

DeDiM: De-identification using a diffusion model. - Hidetsugu Uchida; Narishige Abe; Shigefumi Yamada (BIOSIG, 2022)

Sample-Level and Class-Level Adaptive Training for Face Recognition. - Mengjiao Wang 001; Rujie Liu; Narishige Abe; Tomoaki Matsunami; Hidetsugu Uchida; Lina Septiana (ICME, 2022)

Privacy-Preserving Image Transformation Method for Person Detection and Re-ID. - Yumo Ouchi; Hidetsugu Uchida; Narishige Abe (APSIPA ASC, 2023)

A Human-Centered Risk Evaluation of Biometric Systems Using Conjoint Analysis. - Tetsushi Ohki; Narishige Abe; Hidetsugu Uchida; Shigefumi Yamada (IJCB, 2024)

Multi-Masked Prompt Learning For Clothing-Change Person Re-Identification. - Kazuki Osamura; Hidetsugu Uchida; Shijie Nie; Narishige Abe (IJCB, 2024)