101 citations · 202 across the 12 of their papers we have counts for
4 papers · 1 filter
Neural Network Generalization: The impact of camera parameters
Zhenyi Liu, Trisha Lian, Joyce Farrell +1
We quantify the generalization of a convolutional neural network (CNN) trained to identify cars. First, we perform a series of experiments to train the network using one image data…
A convolutional neural network reaches optimal sensitivity for detecting some, but not all, patterns
Fabian H. Reith, Brian A. Wandell
We investigate the performance of modern convolutional neural networks (CNN) and a linear support vector machine (SVM) with respect to spatial contrast sensitivity. Specifically, w…
Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural Network
Zhenyi Liu, Trisha Lian, Joyce Farrell +1
Imaging systems are increasingly used as input to convolutional neural networks (CNN) for object detection; we would like to design cameras that are optimized for this purpose. It…
A system for generating complex physically accurate sensor images for automotive applications
Zhenyi Liu, Minghao Shen, Jiaqi Zhang +4
We describe an open-source simulator that creates sensor irradiance and sensor images of typical automotive scenes in urban settings. The purpose of the system is to support camera…