Roberto Rigamonti

École Polytechnique Fédérale de Lausanne — Switzerland

Engineering · Physical Sciences

8h-index794citations14works0.02yr avg
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Research Topics

Sparse and Compressive Sensing Techniques(5), Domain Adaptation and Few-Shot Learning(4), Medical Image Segmentation Techniques(3), Advanced Image and Video Retrieval Techniques(3), Retinal Imaging and Analysis(3)

Publications14 total

Beyond KernelBoost
arXiv (Cornell University)·2014Open Access
Beyond KernelBoost
arXiv (Cornell University)·2014· 3 citedOpen Access
Learning Separable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence·2014· 95 citedOpen Access
On the relevance of sparsity for image classification
Computer Vision and Image Understanding·2014· 14 citedOpen Access
Better features for image categorization and segmentation
Infoscience (Ecole Polytechnique Fédérale de Lausanne)·2014Open Access
Learning Separable Filters
2013· 209 citedOpen Access
Supervised Feature Learning for Curvilinear Structure Segmentation
Lecture notes in computer science·2013· 167 citedOpen Access
KernelBoost: Supervised Learning of Image Features For Classification
Infoscience (Ecole Polytechnique Fédérale de Lausanne)·2013· 6 citedOpen Access
Accurate and Efficient Linear Structure Segmentation by Leveraging Ad Hoc Features with Learned Filters
Lecture notes in computer science·2012· 36 citedOpen Access
Accurate and Efficient Linear Structure Segmentation by Leveraging Ad Hoc Features with Learned Filters
Infoscience (Ecole Polytechnique Fédérale de Lausanne)·2012Open Access
Are sparse representations really relevant for image classification?
2011· 201 citedOpen Access
Filter Learning for Linear Structure Segmentation
Infoscience (Ecole Polytechnique Fédérale de Lausanne)·2011· 11 citedOpen Access
Is Sparsity Really Relevant for Image Classification
Infoscience (Ecole Polytechnique Fédérale de Lausanne)·2010· 1 citedOpen Access
Use a Single Camera for Simultaneous Localization And Mapping with Mobile Object Tracking in dynamic environments
2009· 51 cited

Frequent Co-authors

Vincent Lepetit(12), Pascal Fua(8), Amos Sironi(2), Matthew A. Brown(2), Carlos Becker(2), Germán González(2), Engin Türetken(2), Bugra Tekin(1), Davide Migliore(1), D. Marzorati(1), Matteo Matteucci(1), Domenico G. Sorrenti(1), Fethallah Benmansour(1), Matthew Brown(1)