49 citations · 133 across the 19 of their papers we have counts for
5 papers · 1 filter
DN-ResNet: Efficient Deep Residual Network for Image Denoising
Haoyu Ren, Mostafa El-Khamy, Jungwon Lee
A deep learning approach to blind denoising of images without complete knowledge of the noise statistics is considered. We propose DN-ResNet, which is a deep convolutional neural n…
Learning Sparse Low-Precision Neural Networks With Learnable Regularization
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
We consider learning deep neural networks (DNNs) that consist of low-precision weights and activations for efficient inference of fixed-point operations. In training low-precision…
Fused Deep Neural Networks for Efficient Pedestrian Detection
Xianzhi Du, Mostafa El-Khamy, Vlad I. Morariu +2
In this paper, we present an efficient pedestrian detection system, designed by fusion of multiple deep neural network (DNN) systems. Pedestrian candidates are first generated by a…
Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
We consider the optimization of deep convolutional neural networks (CNNs) such that they provide good performance while having reduced complexity if deployed on either conventional…
Universal Deep Neural Network Compression
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
In this paper, we investigate lossy compression of deep neural networks (DNNs) by weight quantization and lossless source coding for memory-efficient deployment. Whereas the previo…