Search Results for author:
Found 6 papers, 3 papers with code
Task-Oriented Edge Networks: Decentralized Learning Over Wireless Fronthaul
Inspired by the nomographic function, an efficient cloud inference model becomes an integration of a number of shallow DNNs.
XYDeblur: Divide and Conquer for Single Image Deblurring
Many convolutional neural networks (CNNs) for single image deblurring employ a U-Net structure to estimate latent sharp images.
W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping
Recent research on learning a mapping between raw Bayer images and RGB images has progressed with the development of deep convolutional neural networks.
Fast and Accurate 3D Hand Pose Estimation via Recurrent Neural Network for Capturing Hand Articulations
In this paper, we propose a hierarchically-structured convolutional recurrent neural network (HCRNN) with six branches that estimate the 3D position of the palm and five fingers independently.
PEPSI++: Fast and Lightweight Network for Image Inpainting
To address this problem, we propose a novel network architecture called PEPSI: parallel extended-decoder path for semantic inpainting network, which aims at reducing the hardware costs and improving the inpainting performance.
Parallel Feature Pyramid Network for Object Detection
To overcome this limitation, we propose a CNN-based object detection architecture, referred to as a parallel feature pyramid (FP) network (PFPNet), where the FP is constructed by widening the network width instead of increasing the network depth.
