| A demonstration of FPGA-based you only look once version2 (YOLOv2) H Nakahara, M Shimoda, S Sato 2018 28th International Conference on Field Programmable Logic and …, 2018 | 26 | 2018 |
| FPGA-based training accelerator utilizing sparseness of convolutional neural network H Nakahara, Y Sada, M Shimoda, K Sayama, A Jinguji, S Sato 2019 29th International Conference on Field Programmable Logic and …, 2019 | 23 | 2019 |
| All binarized convolutional neural network and its implementation on an FPGA M Shimoda, S Sato, H Nakahara 2017 International Conference on Field Programmable Technology (ICFPT), 291-294, 2017 | 23 | 2017 |
| GUINNESS: A GUI based binarized deep neural network framework for software programmers H Nakahara, H Yonekawa, T Fujii, M Shimoda, S Sato IEICE TRANSACTIONS on Information and Systems 102 (5), 1003-1011, 2019 | 21 | 2019 |
| Mask RSA: end-to-end reinforcement learning-based routing and spectrum assignment in elastic optical networks M Shimoda, T Tanaka 2021 European Conference on Optical Communication (ECOC), 1-4, 2021 | 19 | 2021 |
| An FPGA implementation of real-time object detection with a thermal camera M Shimoda, Y Sada, R Kuramochi, H Nakahara 2019 29th International Conference on Field Programmable Logic and …, 2019 | 14 | 2019 |
| Filter-wise pruning approach to FPGA implementation of fully convolutional network for semantic segmentation M Shimoda, Y Sada, H Nakahara Applied Reconfigurable Computing: 15th International Symposium, ARC 2019 …, 2019 | 14 | 2019 |
| An FPGA-based fine tuning accelerator for a sparse CNN H Nakahara, A Jinguji, M Shimoda, S Sato Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019 | 10 | 2019 |
| A demonstration of the GUINNESS: A GUI based neural NEtwork SyntheSizer for an FPGA H Nakahara, H Yonekawa, T Fujii, M Shimoda, S Sato 2017 27th International Conference on Field Programmable Logic and …, 2017 | 10 | 2017 |
| FPGA-based inter-layer pipelined accelerators for filter-wise weight-balanced sparse fully convolutional networks with overlapped tiling M Shimoda, Y Sada, H Nakahara Journal of Signal Processing Systems 93 (5), 499-512, 2021 | 7 | 2021 |
| A tri-state weight convolutional neural network for an FPGA: Applied to YOLOv2 object detector H Nakahara, M Shimoda, S Sato 2018 International Conference on Field-Programmable Technology (FPT), 298-301, 2018 | 6 | 2018 |
| Impact of operational mode selection and grooming policies on auxiliary graph-based multi-layer network planning T Tanaka, M Shimoda 2021 European Conference on Optical Communication (ECOC), 1-4, 2021 | 5 | 2021 |
| Fast monocular depth estimation on an FPGA Y Sada, N Soga, M Shimoda, A Jinguji, S Sato, H Nakahara 2020 IEEE International Parallel and Distributed Processing Symposium …, 2020 | 4 | 2020 |
| Fpga-based accurate pedestrian detection with thermal camera for surveillance system R Kuramochi, M Shimoda, Y Sada, S Sato, H Nakahara 2019 International Conference on ReConFigurable Computing and FPGAs …, 2019 | 4 | 2019 |
| A dataflow pipelining architecture for tile segmentation with a sparse mobilenet on an fpga Y Sada, M Shimoda, A Jinguji, H Nakahara 2019 International Conference on Field-Programmable Technology (ICFPT), 267-270, 2019 | 4 | 2019 |
| Demonstration of object detection for event-driven cameras on FPGAs and GPUs M Shimoda, S Sato, H Nakahara 2018 28th International Conference on Field Programmable Logic and …, 2018 | 3 | 2018 |
| Deep reinforcement learning-based spectrum assignment with multi-metric reward function and assignable boundary slot mask M Shimoda, T Tanaka 2021 Opto-Electronics and Communications Conference (OECC), 1-3, 2021 | 2 | 2021 |
| Power Efficient Object Detector with an Event-Driven Camera for Moving Object Surveillance on an FPGA M Shimoda, S Sato, H Nakahara IEICE TRANSACTIONS on Information and Systems 102 (5), 1020-1028, 2019 | 2 | 2019 |
| Pre-and post-processing techniques for reinforcement-learning-based routing and spectrum assignment in elastic optical networks T Tanaka, M Shimoda Journal of Optical Communications and Networking 15 (12), 1019-1029, 2023 | 1 | 2023 |
| SENTEI: Filter-Wise Pruning with Distillation towards Efficient Sparse Convolutional Neural Network Accelerators M Shimoda, Y Sada, R Kuramochi, S Sato, H Nakahara IEICE TRANSACTIONS on Information and Systems 103 (12), 2463-2470, 2020 | 1 | 2020 |
Hiroki NakaharaProfessor, Tohoku UniversityVerified email at tohoku.ac.jp
