64 citations · 343 across the 44 of their papers we have counts for
4 papers · 1 filter
Semantic-Aware Depth Super-Resolution in Outdoor Scenes
Miaomiao Liu, Mathieu Salzmann, Xuming He
While depth sensors are becoming increasingly popular, their spatial resolution often remains limited. Depth super-resolution therefore emerged as a solution to this problem. Despi…
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods
Mehrtash Harandi, Mathieu Salzmann, Richard Hartley
Representing images and videos with Symmetric Positive Definite (SPD) matrices, and considering the Riemannian geometry of the resulting space, has been shown to yield high discrim…
Structured Prediction of 3D Human Pose with Deep Neural Networks
Bugra Tekin, Isinsu Katircioglu, Mathieu Salzmann +2
Most recent approaches to monocular 3D pose estimation rely on Deep Learning. They either train a Convolutional Neural Network to directly regress from image to 3D pose, which igno…
Robust Multi-body Feature Tracker: A Segmentation-free Approach
Pan Ji, Hongdong Li, Mathieu Salzmann +1
Feature tracking is a fundamental problem in computer vision, with applications in many computer vision tasks, such as visual SLAM and action recognition. This paper introduces a n…