27 citations · 37 across the 4 of their papers we have counts for
10 papers
OpenICS: Open Image Compressive Sensing Toolbox and Benchmark
Jonathan Zhao, Matthew Westerham, Mark Lakatos-Toth +3
We present OpenICS, an image compressive sensing toolbox that includes multiple image compressive sensing and reconstruction algorithms proposed in the past decade. Due to the lack…
Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing
Akshay Dua, Yixing Li, Fengbo Ren
This paper presents Systolic-CNN, an OpenCL-defined scalable, run-time-flexible FPGA accelerator architecture, optimized for accelerating the inference of various convolutional neu…
A Survey of System Architectures and Techniques for FPGA Virtualization
Masudul Hassan Quraishi, Erfan Bank Tavakoli, Fengbo Ren
FPGA accelerators are gaining increasing attention in both cloud and edge computing because of their hardware flexibility, high computational throughput, and low power consumption.…
MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time
Xichuan Zhou, Yicong Peng, Chunqiao Long +2
Monocular multi-object detection and localization in 3D space has been proven to be a challenging task. The MoNet3D algorithm is a novel and effective framework that can predict th…
Learning in the Frequency Domain
Kai Xu, Minghai Qin, Fei Sun +3
Deep neural networks have achieved remarkable success in computer vision tasks. Existing neural networks mainly operate in the spatial domain with fixed input sizes. For practical…
Light-Weight RetinaNet for Object Detection
Yixing Li, Fengbo Ren
Object detection has gained great progress driven by the development of deep learning. Compared with a widely studied task -- classification, generally speaking, object detection e…