Rendering Virtual Objects into Real Scene by using a Diffuse Sphere. - Yuji Kanda; Fumihiko Sakaue; Jun Sato; Kazuhisa Ishimaru; Masayuki Imanishi (VISAPP (1), 2012)

High Frequency 3D Reconstruction from Unsynchronized Multiple Cameras. - Yumi Kakumu; Fumihiko Sakaue; Jun Sato; Kazuhisa Ishimaru; Masayuki Imanishi (BMVC, 2013)

Deep Learning-Based Fast Hand Gesture Recognition Using Representative Frames. - Vijay John; Ali Boyali; Seiichi Mita; Masayuki Imanishi; Norio Sanma (DICTA, 2016)

Real-time hand posture and gesture-based touchless automotive user interface using deep learning. - Vijay John; Makoto Umetsu; Ali Boyali; Seiichi Mita; Masayuki Imanishi; Norio Sanma; Syunsuke Shibata (Intelligent Vehicles Symposium, 2017)

Proceedings of Workshop AEW10: Concepts in Information Theory and Communications. - Kees A. Schouhamer Immink; Stan Baggen; Ferdaous Chaabane; Yanling Chen 001; Peter H. N. de With; Héla Gassara; Hamed Gharbi; Adel Ghazel; Khaled Grati; Naira M. Grigoryan; Ashot N. Harutyunyan; Masayuki Imanishi; et al. (CoRR, 2017)

Deep Learning-Aided Iterative Detector for Massive Overloaded MIMO Channels. - Masayuki Imanishi; Satoshi Takabe; Tadashi Wadayama (CoRR, 2018)

Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach. - Satoshi Takabe; Masayuki Imanishi; Tadashi Wadayama; Kazunori Hayashi (CoRR, 2018)

Deep Learning-Aided Projected Gradient Detector for Massive Overloaded MIMO Channels. - Satoshi Takabe; Masayuki Imanishi; Tadashi Wadayama; Kazunori Hayashi (ICC, 2019)

Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-Driven Tuning Approach. - Satoshi Takabe; Masayuki Imanishi; Tadashi Wadayama; Ryo Hayakawa; Kazunori Hayashi (IEEE Access, 2019)