Mixed precision dnns: All you need is a good parametrization S Uhlich, L Mauch, F Cardinaux, K Yoshiyama, JA Garcia, S Tiedemann, ... arXiv preprint arXiv:1905.11452, 2019 | 170 | 2019 |
Differentiable quantization of deep neural networks S Uhlich, L Mauch, K Yoshiyama, F Cardinaux, JA Garcia, S Tiedemann, ... arXiv preprint arXiv:1905.11452 2 (8), 2019 | 40 | 2019 |
Iteratively training look-up tables for network quantization F Cardinaux, S Uhlich, K Yoshiyama, JA García, L Mauch, S Tiedemann, ... IEEE Journal of Selected Topics in Signal Processing 14 (4), 860-870, 2020 | 20 | 2020 |
Development of a database system and image viewer to assist in the correlation of histopathologic features and digital image analysis with clinical and molecular genetic … Y Yagi, G Riedlinger, X Xu, A Nakamura, B Levy, AJ Iafrate, ... Pathology international 66 (2), 63-74, 2016 | 14 | 2016 |
Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives T Narihira, J Alonsogarcia, F Cardinaux, A Hayakawa, M Ishii, K Iwaki, ... arXiv preprint arXiv:2102.06725, 2021 | 12 | 2021 |
Eye-contact visual communication with virtual view synthesis Y Liu, K Yamaoka, H Sato, A Nakamura, Y Iwai, K Ooi, W Wu, ... Second IEEE Consumer Communications and Networking Conference, 2005. CCNC …, 2005 | 2 | 2005 |
Hitless Wavelength Add-Drop using a novel signaling protocol combined with hitless switching techniques K Shrikhande, Y Ikoma, A Nakamura, KS Kim, K Horie, LG Kazovky Optical Fiber Communication Conference, ThGG91, 2002 | 2 | 2002 |
Long Cable PHY for IEEE 1394 A Nakamura, S Okawa, Y Niwa, H Takizuka IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, 192-193, 1998 | | 1998 |