3 papers
cs.CV2020
End-to-end Learning Improves Static Object Geo-localization in Monocular Video
Mohamed Chaabane, Lionel Gueguen, Ameni Trabelsi +2
Accurately estimating the position of static objects, such as traffic lights, from the moving camera of a self-driving car is a challenging problem. In this work, we present a syst…
cs.CV2019
Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations
Luming Liang, Sen Deng, Lionel Gueguen +3
We propose a deep fully convolutional neural network with a new type of layer, named median layer, to restore images contaminated by the salt-and-pepper (s&p) noise. A median layer…
cs.CV2018
Joint Mapping and Calibration via Differentiable Sensor Fusion
Jonathan P. Chen, Fritz Obermeyer, Vladimir Lyapunov +2
We leverage automatic differentiation (AD) and probabilistic programming to develop an end-to-end optimization algorithm for batch triangulation of a large number of unknown object…