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ORCIDYouki Sada
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- affiliation: Tokyo Institute of Technology, Japan
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2020 – today
- 2024
[c10]Youki Sada, Seiya Shibata, Yuki Kobayashi, Takashi Takenaka:
Work-in-Progress: Temporal RegionDrop - Frame Difference Sparsity for Efficient Video Inference. CASES 2024: 22- 2022
- [c9]Youki Sada, Seiya Shibata, Yuki Kobayashi, Takashi Takenaka:
RegionDrop: Fast Human Pose Estimation Using Annotation-Aware Spatial Sparsity. ICANN (4) 2022: 756-768 - 2021
- [j2]Masayuki Shimoda
, Youki Sada, Hiroki Nakahara:
FPGA-Based Inter-layer Pipelined Accelerators for Filter-Wise Weight-Balanced Sparse Fully Convolutional Networks with Overlapped Tiling. J. Signal Process. Syst. 93(5): 499-512 (2021) - 2020
- [j1]Masayuki Shimoda, Youki Sada, Ryosuke Kuramochi, Shimpei Sato, Hiroki Nakahara:
SENTEI: Filter-Wise Pruning with Distillation towards Efficient Sparse Convolutional Neural Network Accelerators. IEICE Trans. Inf. Syst. 103-D(12): 2463-2470 (2020) - [c8]Youki Sada, Naoto Soga, Masayuki Shimoda, Akira Jinguji, Shimpei Sato, Hiroki Nakahara:
Fast Monocular Depth Estimation on an FPGA. IPDPS Workshops 2020: 143-146
2010 – 2019
- 2019
- [c7]Masayuki Shimoda, Youki Sada, Hiroki Nakahara:
Filter-Wise Pruning Approach to FPGA Implementation of Fully Convolutional Network for Semantic Segmentation. ARC 2019: 371-386 - [c6]Hiroki Nakahara, Youki Sada, Masayuki Shimoda, Kouki Sayama, Akira Jinguji, Shimpei Sato:
FPGA-Based Training Accelerator Utilizing Sparseness of Convolutional Neural Network. FPL 2019: 180-186 - [c5]Masayuki Shimoda, Youki Sada, Ryosuke Kuramochi, Hiroki Nakahara:
An FPGA Implementation of Real-Time Object Detection with a Thermal Camera. FPL 2019: 413-414 - [c4]Akira Jinguji, Youki Sada, Hiroki Nakahara:
Real-Time Multi-Pedestrian Detection in Surveillance Camera using FPGA. FPL 2019: 424-425 - [c3]Youki Sada, Masayuki Shimoda, Akira Jinguji, Hiroki Nakahara:
A Dataflow Pipelining Architecture for Tile Segmentation with a Sparse MobileNet on an FPGA. FPT 2019: 267-270 - [c2]Ryosuke Kuramochi, Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara:
Many Universal Convolution Cores for Ensemble Sparse Convolutional Neural Networks. MCSoC 2019: 93-100 - [c1]Ryosuke Kuramochi, Masayuki Shimoda, Youki Sada, Shimpei Sato, Hiroki Nakahara:
FPGA-based Accurate Pedestrian Detection with Thermal Camera for Surveillance System. ReConFig 2019: 1-5
Coauthor Index
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last updated on 2024-11-30 01:15 CET by the dblp team
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