489 citations · 2.2k across the 126 of their papers we have counts for
5 papers · 2 filters
Structured Depth Prediction in Challenging Monocular Video Sequences
Miaomiao Liu, Mathieu Salzmann, Xuming He
In this paper, we tackle the problem of estimating the depth of a scene from a monocular video sequence. In particular, we handle challenging scenarios, such as non-translational c…
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering
Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann +1
Scene parsing has attracted a lot of attention in computer vision. While parametric models have proven effective for this task, they cannot easily incorporate new training data. By…
Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data
Pan Ji, Mathieu Salzmann, Hongdong Li
The Shape Interaction Matrix (SIM) is one of the earliest approaches to performing subspace clustering (i.e., separating points drawn from a union of subspaces). In this paper, we…
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs
Mehrtash Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh
State-of-the-art image-set matching techniques typically implicitly model each image-set with a Gaussian distribution. Here, we propose to go beyond these representations and model…
When VLAD met Hilbert
Mehrtash Harandi, Mathieu Salzmann, Fatih Porikli
Vectors of Locally Aggregated Descriptors (VLAD) have emerged as powerful image/video representations that compete with or even outperform state-of-the-art approaches on many chall…