53 citations · 59 across the 2 of their papers we have counts for
3 papers
cs.CV2018
DNN Feature Map Compression using Learned Representation over GF(2)
Denis A. Gudovskiy, Alec Hodgkinson, Luca Rigazio
In this paper, we introduce a method to compress intermediate feature maps of deep neural networks (DNNs) to decrease memory storage and bandwidth requirements during inference. Un…
cs.CV2017★ 53 cited
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks
Denis A. Gudovskiy, Luca Rigazio
In this paper we introduce ShiftCNN, a generalized low-precision architecture for inference of multiplierless convolutional neural networks (CNNs). ShiftCNN is based on a power-of-…
cs.CV2017★ 6 cited
TransFlow: Unsupervised Motion Flow by Joint Geometric and Pixel-level Estimation
Stefano Alletto, Davide Abati, Simone Calderara +2
We address unsupervised optical flow estimation for ego-centric motion. We argue that optical flow can be cast as a geometrical warping between two successive video frames and devi…