Università della Svizzera italiana

Deep learning for 3D hand biometric systems

Svoboda, Jan ; Bronstein, Michael (Dir.) ; Masci, Jonathan (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO007.

Hands are an indispensable part of human bodies used in our everyday life to express ourselves and manipulate the surrounding world. Moreover, a hand contains highly- unique characteristics that allow for distinguishing among different individuals. Though fingerprints are widely-known for this, the hand also has a unique geometric shape, palmprint, and vein structure. The shapes of a hand and...

Università della Svizzera italiana

Geometric deep learning for shape analysis : extending deep learning techniques to non-Euclidean manifolds

Boscaini, Davide ; Bronstein, Michael (Dir.) ; Masci, Jonathan (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2017 ; 2017INFO009.

The past decade in computer vision research has witnessed the re-emergence of artificial neural networks (ANN), and in particular convolutional neural network (CNN) techniques, allowing to learn powerful feature representations from large collections of data. Nowadays these techniques are better known under the umbrella term deep learning and have achieved a breakthrough in performance in a...

Università della Svizzera italiana

Spectral methods for multimodal data analysis

Kovnatsky, Artiom ; Bronstein, Michael (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2016 ; 2016INFO006.

Spectral methods have proven themselves as an important and versatile tool in a wide range of problems in the fields of computer graphics, machine learning, pattern recognition, and computer vision, where many important problems boil down to constructing a Laplacian operator and finding a few of its eigenvalues and eigenfunctions. Classical examples include the computation of diffusion ...