Are sparse representations really relevant for image classification? - Roberto Rigamonti; Matthew A. Brown; Vincent Lepetit (CVPR, 2011)

Accurate and Efficient Linear Structure Segmentation by Leveraging Ad Hoc Features with Learned Filters. - Roberto Rigamonti; Vincent Lepetit (MICCAI (1), 2012)

Learning Separable Filters. - Roberto Rigamonti; Amos Sironi; Vincent Lepetit; Pascal Fua (CVPR, 2013)

Supervised Feature Learning for Curvilinear Structure Segmentation. - Carlos J. Becker; Roberto Rigamonti; Vincent Lepetit; Pascal Fua (MICCAI (1), 2013)

Beyond KernelBoost. - Roberto Rigamonti; Vincent Lepetit; Pascal Fua (CoRR, 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)

Better features for image categorization and segmentation. - Roberto Rigamonti (2014)

Toward Transparent Heterogeneous Systems. - Baptiste Delporte; Roberto Rigamonti; Alberto Dassatti (CoRR, 2015)

Learning Separable Filters. - Amos Sironi; Bugra Tekin; Roberto Rigamonti; Vincent Lepetit; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Transparent FPGA flow. - Baptiste Delporte; Anthony Convers; Roberto Rigamonti; Alberto Dassatti (FPL, 2016)

HPA: An opportunistic approach to embedded energy efficiency. - Baptiste Delporte; Roberto Rigamonti; Alberto Dassatti (HPCS, 2016)

Transparent Live Code Offloading on FPGA. - Roberto Rigamonti; Baptiste Delporte; Anthony Convers; Alberto Dassatti (CoRR, 2016)

Heterogeneous Hardware from Homogeneous Software. - Alberto Dassatti; Roberto Rigamonti (HPCS, 2017)