Roberto Rigamonti

According to our database, Roberto Rigamonti authored at least 13 papers between 2011 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Heterogeneous Hardware from Homogeneous Software.

Alberto Dassatti, Roberto Rigamonti

Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

2016

Transparent Live Code Offloading on FPGA.

Roberto Rigamonti, Baptiste Delporte, Anthony Convers, Alberto Dassatti

CoRR, 2016

HPA: An opportunistic approach to embedded energy efficiency.

Baptiste Delporte, Roberto Rigamonti, Alberto Dassatti

Proceedings of the International Conference on High Performance Computing & Simulation, 2016

Transparent FPGA flow.

Baptiste Delporte, Anthony Convers, Roberto Rigamonti, Alberto Dassatti

Proceedings of the 26th International Conference on Field Programmable Logic and Applications, 2016

2015

Learning Separable Filters.

Amos Sironi, Bugra Tekin, Roberto Rigamonti, Vincent Lepetit, Pascal Fua

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Toward Transparent Heterogeneous Systems.

Baptiste Delporte, Roberto Rigamonti, Alberto Dassatti

CoRR, 2015

2014

Better features for image categorization and segmentation.

Roberto Rigamonti

PhD thesis, 2014

On the relevance of sparsity for image classification.

Roberto Rigamonti, Vincent Lepetit, Germán González, Engin Türetken, Fethallah Benmansour, Matthew A. Brown, Pascal Fua

Comput. Vis. Image Underst., 2014

Beyond KernelBoost.

Roberto Rigamonti, Vincent Lepetit, Pascal Fua

CoRR, 2014

2013

Supervised Feature Learning for Curvilinear Structure Segmentation.

Carlos J. Becker, Roberto Rigamonti, Vincent Lepetit, Pascal Fua

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Learning Separable Filters.

Roberto Rigamonti, Amos Sironi, Vincent Lepetit, Pascal Fua

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Accurate and Efficient Linear Structure Segmentation by Leveraging Ad Hoc Features with Learned Filters.

Roberto Rigamonti, Vincent Lepetit

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011

Are sparse representations really relevant for image classification?

Roberto Rigamonti, Matthew A. Brown, Vincent Lepetit

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011