3 papers
cs.CL2020
Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning
Alexandre Tamborrino, Nicola Pellicano, Baptiste Pannier +2
Fine-tuning of pre-trained transformer models has become the standard approach for solving common NLP tasks. Most of the existing approaches rely on a randomly initialized classifi…
cs.CV2018
Geometry-Based Multiple Camera Head Detection in Dense Crowds
Nicola Pellicanò, Emanuel Aldea, Sylvie Le Hégarat-Mascle
This paper addresses the problem of head detection in crowded environments. Our detection is based entirely on the geometric consistency across cameras with overlapping fields of v…
cs.AI2018
2CoBel : An Efficient Belief Function Extension for Two-dimensional Continuous Spaces
Nicola Pellicanò, Sylvie Le Hégarat-Mascle, Emanuel Aldea
This paper introduces an innovative approach for handling 2D compound hypotheses within the Belief Function Theory framework. We propose a polygon-based generic rep- resentation wh…