7 citations · 17 across the 7 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 4 cited
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…
cs.CV2019★ 3 cited
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…
cs.CV2019★ 7 cited
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…