Yingcheng Lin

Orcid: 0000-0002-7478-3103

According to our database1, Yingcheng Lin authored at least 13 papers between 2019 and 2023.

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

Timeline

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Links

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Bibliography

2023
Multi-Scale FPGA-Based Infrared Image Enhancement by Using RGF and CLAHE.
Sensors, October, 2023

2022
A Real-Time FPGA Implementation of Infrared and Visible Image Fusion Using Guided Filter and Saliency Detection.
Sensors, 2022

2021
A Low-Cost High-Speed Object Tracking VLSI System Based on Unified Textural and Dynamic Compressive Features.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference Using Time-Step Binary Spike Maps.
Sensors, 2021

An Efficient Ensemble Binarized Deep Neural Network on Chip with Perception-Control Integrated.
Sensors, 2021

CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features.
Neurocomputing, 2021

A Pixel-Parallel Array Processor without Computational Logic for Computational Image Sensors.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

2020
ICONet: A Lightweight Network with Greater Environmental Adaptivity.
Symmetry, 2020

A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification.
Sensors, 2020

A High-speed Low-cost CNN Inference Accelerator for Depthwise Separable Convolution.
Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020

2019
High-speed Classification of AER Data Based on a Low-cost Hardware System.
Proceedings of the 13th IEEE International Conference on ASIC, 2019

20, 000-fps Visual Motion Magnification on Pixel-parallel Vision Chip.
Proceedings of the 13th IEEE International Conference on ASIC, 2019

An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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