2 citations · 2 across the 3 of their papers we have counts for
3 papers
Nested Learning For Multi-Granular Tasks
Raphaël Achddou, J. Matias di Martino, Guillermo Sapiro
Standard deep neural networks (DNNs) are commonly trained in an end-to-end fashion for specific tasks such as object recognition, face identification, or character recognition, amo…
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method
J. Matias Di Martino, Fernando Suzacq, Mauricio Delbracio +2
Active illumination is a prominent complement to enhance 2D face recognition and make it more robust, e.g., to spoofing attacks and low-light conditions. In the present work we sho…
SalGaze: Personalizing Gaze Estimation Using Visual Saliency
Zhuoqing Chang, Matias Di Martino, Qiang Qiu +2
Traditional gaze estimation methods typically require explicit user calibration to achieve high accuracy. This process is cumbersome and recalibration is often required when there…