37 citations · 39 across the 3 of their papers we have counts for
4 papers
Fast and Accurate: Video Enhancement using Sparse Depth
Yu Feng, Patrick Hansen, Paul N. Whatmough +2
This paper presents a general framework to build fast and accurate algorithms for video enhancement tasks such as super-resolution, deblurring, and denoising. Essential to our fram…
ISP4ML: Understanding the Role of Image Signal Processing in Efficient Deep Learning Vision Systems
Patrick Hansen, Alexey Vilkin, Yury Khrustalev +4
Convolutional neural networks (CNNs) are now predominant components in a variety of computer vision (CV) systems. These systems typically include an image signal processor (ISP), e…
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning
Paul N. Whatmough, Chuteng Zhou, Patrick Hansen +3
The computational demands of computer vision tasks based on state-of-the-art Convolutional Neural Network (CNN) image classification far exceed the energy budgets of mobile devices…
Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning
Paul Whatmough, Chuteng Zhou, Patrick Hansen +1
On-device CNN inference for real-time computer vision applications can result in computational demands that far exceed the energy budgets of mobile devices. This paper proposes Fix…