Yehua Ling

Orcid: 0000-0002-1196-6615

According to our database1, Yehua Ling authored at least 10 papers between 2020 and 2023.

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

Timeline

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Bibliography

2023
A robust and real-time DNN-based multi-baseline stereo accelerator in FPGAs.
J. Syst. Archit., October, 2023

An efficient real-time accelerator for high-accuracy DNN-based optical flow estimation in FPGA.
J. Syst. Archit., March, 2023

Dense Depth Estimation for Monocular Endoscope Robot with an Adaptive Baseline.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Real-Time Instance Segmentation and Tip Detection for Neuroendoscopic Surgical Instruments.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Accelerated Optimization for Simulation of Brain Spiking Neural Network on GPGPUs.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022
Lite-Stereo: A Resource-Efficient Hardware Accelerator for Real-Time High-Quality Stereo Estimation Using Binary Neural Network.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Ultra-Flow: An Ultra-fast and High-quality Optical Flow Accelerator with Deep Feature Matching on FPGA.
Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

FlowAcc: Real-Time High-Accuracy DNN-based Optical Flow Accelerator in FPGA.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021
Hardware accelerator for an accurate local stereo matching algorithm using binary neural network.
J. Syst. Archit., 2021

2020
StereoEngine: An FPGA-Based Accelerator for Real-Time High-Quality Stereo Estimation With Binary Neural Network.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020


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