CAVAZZA J.

Visual features designed for image classification have shown to be useful in zero-shot learning (ZSL) when generalizing towards classes not seen during training. In this paper, we argue that a more effective way of building visual features for ZSL is to extract them through captioning, in order not just to classify an image but, instead, to...

Visual features designed for image classification have shown to be useful in zero-shot learning (ZSL) when generalizing towards classes not seen during training. In this paper, we argue that a more effective way of building visual features for ZSL is to extract them through captioning, in order not just to classify an image but, instead, to...

This paper aims at investigating the action prediction problem from a pure kinematic perspective. Specifically, we address the problem of recognizing future actions, indeed human intentions, underlying a same initial (and apparently unrelated) motor act. This study is inspired by neuroscientific findings asserting that motor acts at the very...