15 citations · 24 across the 5 of their papers we have counts for
7 papers
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…
P1AC: Revisiting Absolute Pose From a Single Affine Correspondence
Jonathan Ventura, Zuzana Kukelova, Torsten Sattler +1
Affine correspondences have traditionally been used to improve feature matching over wide baselines. While recent work has successfully used affine correspondences to solve various…
Self-Supervised Poisson-Gaussian Denoising
Wesley Khademi, Sonia Rao, Clare Minnerath +2
We extend the blindspot model for self-supervised denoising to handle Poisson-Gaussian noise and introduce an improved training scheme that avoids hyperparameters and adapts the de…
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…
Structure from Motion on a Sphere
Jonathan Ventura
We describe a special case of structure from motion where the camera rotates on a sphere. The camera's optical axis lies perpendicular to the sphere's surface. In this case, the ca…
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…