| 2025 | MVA | Magic for the Age of Quantized DNNs. | Ryuji Saiin, Kazuma Suetake, Yoshihide Sawada |
| 2022 | IROS | E2Pose: Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation. | Masakazu Tobeta, Yoshihide Sawada, Ze Zheng, Sawa Takamuku, Naotake Natori |
| 2016 | ECAI | Long-Time Sensor Data Analysis for Estimation of Physical Capacity. | Yoshikuni Sato, Yoshihide Sawada, Toru Nakada, Tadayoshi Nonoyama, Masafumi Kubota, Yusuke Koie, Masaki Yasutake, Osamu Yamamura |
| 2016 | ECAI | All-Transfer Learning for Deep Neural Networks and Its Application to Sepsis Classification. | Yoshihide Sawada, Yoshikuni Sato, Toru Nakada, Kei Ujimoto, Nobuhiro Hayashi |
| 2015 | MVA | Transfer learning method using multi-prediction deep Boltzmann machines for a small scale dataset. | Yoshihide Sawada, Kazuki Kozuka |
| 2014 | ICPR | Learning Multiple Complex Features Based on Classification Results. | Yoshikuni Sato, Kazuki Kozuka, Yoshihide Sawada, Masaki Kiyono |
| 2013 | CVPR | Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model. | Hidekata Hontani, Yuto Tsunekawa, Yoshihide Sawada |
| 2012 | CVPR | Robust nonrigid ICP using outlier-sparsity regularization. | Hidekata Hontani, Takamiti Matsuno, Yoshihide Sawada |
| 2012 | MICCAI | A Study on Graphical Model Structure for Representing Statistical Shape Model of Point Distribution Model. | Yoshihide Sawada, Hidekata Hontani |
| 2011 | MICCAI | A Comparison Study of Inferences on Graphical Model for Registering Surface Model to 3D Image. | Yoshihide Sawada, Hidekata Hontani |
| 2008 | ICPR | Stability evaluation of a classifier for detecting abdominal tumors in FDG-PET/CT images. | Hidekata Hontani, Yoshihide Sawada |