Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Mathieu Salzmann

Mathieu Salzmann

Efficient Linear Programming for Dense CRFs

Feb 14, 2017
Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar

Figure 1 for Efficient Linear Programming for Dense CRFs

Figure 2 for Efficient Linear Programming for Dense CRFs

Figure 3 for Efficient Linear Programming for Dense CRFs

Figure 4 for Efficient Linear Programming for Dense CRFs

* 24 pages, 10 figures and 4 tables

Access Paper or Ask Questions

Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation

Nov 18, 2016
Mohammad Sadegh Aliakbarian, Fatemehsadat Saleh, Basura Fernando, Mathieu Salzmann, Lars Petersson, Lars Andersson

Figure 1 for Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation

Figure 2 for Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation

Figure 3 for Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation

Figure 4 for Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation

* 10 pages, 4 figures, 7 tables

Access Paper or Ask Questions

Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data

Oct 07, 2016
Pan Ji, Mathieu Salzmann, Hongdong Li

Figure 1 for Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data

Figure 2 for Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data

Figure 3 for Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data

Figure 4 for Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data

* This is an extended version of our iccv15 paper

Access Paper or Ask Questions

Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

May 20, 2016
Mehrtash Harandi, Mathieu Salzmann, Richard Hartley

Figure 1 for Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

Figure 2 for Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

Figure 3 for Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

Figure 4 for Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

* arXiv admin note: text overlap with arXiv:1407.1120

Access Paper or Ask Questions

Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering

Mar 15, 2016
Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson

Figure 1 for Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering

Figure 2 for Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering

Figure 3 for Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering

Figure 4 for Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering

* Please refer to the CVPR-2016 version of this manuscript

Access Paper or Ask Questions