41 citations · 67 across the 17 of their papers we have counts for
4 papers · 1 filter
A Unified Hardware Architecture for Convolutions and Deconvolutions in CNN
Lin Bai, Yecheng Lyu, Xinming Huang
In this paper, a scalable neural network hardware architecture for image segmentation is proposed. By sharing the same computing resources, both convolution and deconvolution opera…
PointNet on FPGA for Real-Time LiDAR Point Cloud Processing
Lin Bai, Yecheng Lyu, Xin Xu +1
LiDAR sensors have been widely used in many autonomous vehicle modalities, such as perception, mapping, and localization. This paper presents an FPGA-based deep learning platform f…
A CNN Accelerator on FPGA Using Depthwise Separable Convolution
Lin Bai, Yiming Zhao, Xinming Huang
Convolutional neural networks (CNNs) have been widely deployed in the fields of computer vision and pattern recognition because of their high accuracy. However, large convolution o…
ChipNet: Real-Time LiDAR Processing for Drivable Region Segmentation on an FPGA
Yecheng Lyu, Lin Bai, Xinming Huang
This paper presents a field-programmable gate array (FPGA) design of a segmentation algorithm based on convolutional neural network (CNN) that can process light detection and rangi…