Frequency-domain learning draws attention due to its superior tradeoff
b...
In this work, we target the problem of uncertain points refinement for
i...
Motivated by the increasing application of low-resolution LiDAR recently...
General sparse matrix-matrix multiplication (SpGEMM) is an integral part...
In this paper, we present FLASH 1.0, a C++-based software framework for ...
We present OpenICS, an image compressive sensing toolbox that includes
m...
This paper presents Systolic-CNN, an OpenCL-defined scalable,
run-time-f...
This paper presents HALO 1.0, an open-ended extensible multi-agent softw...
FPGA accelerators are gaining increasing attention in both cloud and edg...
Monocular multi-object detection and localization in 3D space has been p...
Deep neural networks have achieved remarkable success in computer vision...
Object detection has gained great progress driven by the development of ...
This paper addresses the single-image compressive sensing (CS) and
recon...
The rapid growth of Internet-of-things (IoT) and artificial intelligence...
Convolutional neural network (CNN) has been widely used for vision-based...
FPGA-based hardware accelerators for convolutional neural networks (CNNs...
This paper addresses the real-time encoding-decoding problem for
high-fr...
In this paper, we develop a binary convolutional encoder-decoder network...