6 citations · 9 across the 2 of their papers we have counts for
4 papers · 1 filter
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality
Alisha Sharma, Ryan Nett, Jonathan Ventura
We introduce a convolutional neural network model for unsupervised learning of depth and ego-motion from cylindrical panoramic video. Panoramic depth estimation is an important tec…
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video
Alisha Sharma, Jonathan Ventura
We introduce a convolutional neural network model for unsupervised learning of depth and ego-motion from cylindrical panoramic video. Panoramic depth estimation is an important tec…
An Aggregated Multicolumn Dilated Convolution Network for Perspective-Free Counting
Diptodip Deb, Jonathan Ventura
We propose the use of dilated filters to construct an aggregation module in a multicolumn convolutional neural network for perspective-free counting. Counting is a common problem i…
Global 6DOF Pose Estimation from Untextured 2D City Models
Clemens Arth, Christian Pirchheim, Jonathan Ventura +1
We propose a method for estimating the 3D pose for the camera of a mobile device in outdoor conditions, using only an untextured 2D model. Previous methods compute only a relative…