Hiroki Nakahara

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Research Focus

Key Achievements

Top Papers

1. 1
   A Lightweight YOLOv2

   135 citations · 2018
2. 2
   A High-speed Low-power Deep Neural Network on an FPGA based on the Nested RNS: Applied to an Object Detector

   33 citations · 2018
3. 3
   An object detector based on multiscale sliding window search using a fully pipelined binarized CNN on an FPGA

   24 citations · 2017
4. 4
   A Demonstration of FPGA-Based You Only Look Once Version2 (YOLOv2)

   18 citations · 2018
5. 5
   Fast Monocular Depth Estimation on an FPGA

   8 citations · 2020
6. 6
   A Performance Per Power Efficient Object Detector on an FPGA for Robot Operating System (ROS)

   6 citations · 2018
7. 7
   A Tri-State Weight Convolutional Neural Network for an FPGA: Applied to YOLOv2 Object Detector

   6 citations · 2018
8. 8
   Weight Sparseness for a Feature-Map-Split-CNN Toward Low-Cost Embedded FPGAs

   3 citations · 2021

Key Collaborators