Youki Sada

Affiliations:
  • Tokyo Institute of Technology, Japan


According to our database1, Youki Sada authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Work-in-Progress: Temporal RegionDrop - Frame Difference Sparsity for Efficient Video Inference.
Proceedings of the International Conference on Compilers, 2024

2022
RegionDrop: Fast Human Pose Estimation Using Annotation-Aware Spatial Sparsity.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
FPGA-Based Inter-layer Pipelined Accelerators for Filter-Wise Weight-Balanced Sparse Fully Convolutional Networks with Overlapped Tiling.
J. Signal Process. Syst., 2021

2020
SENTEI: Filter-Wise Pruning with Distillation towards Efficient Sparse Convolutional Neural Network Accelerators.
IEICE Trans. Inf. Syst., 2020

Fast Monocular Depth Estimation on an FPGA.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019
FPGA-based Accurate Pedestrian Detection with Thermal Camera for Surveillance System.
Proceedings of the 2019 International Conference on ReConFigurable Computing and FPGAs, 2019

Many Universal Convolution Cores for Ensemble Sparse Convolutional Neural Networks.
Proceedings of the 13th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2019

A Dataflow Pipelining Architecture for Tile Segmentation with a Sparse MobileNet on an FPGA.
Proceedings of the International Conference on Field-Programmable Technology, 2019

An FPGA Implementation of Real-Time Object Detection with a Thermal Camera.
Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

FPGA-Based Training Accelerator Utilizing Sparseness of Convolutional Neural Network.
Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

Real-Time Multi-Pedestrian Detection in Surveillance Camera using FPGA.
Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

Filter-Wise Pruning Approach to FPGA Implementation of Fully Convolutional Network for Semantic Segmentation.
Proceedings of the Applied Reconfigurable Computing - 15th International Symposium, 2019


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