23 citations · 31 across the 4 of their papers we have counts for
5 papers
ICPR 2024 Competition on Domain Adaptation and GEneralization for Character Classification (DAGECC)
Sofia Marino, Jennifer Vandoni, Emanuel Aldea +3
In this companion paper for the DAGECC (Domain Adaptation and GEneralization for Character Classification) competition organized within the frame of the ICPR 2024 conference, we pr…
Deep-NFA: a Deep Framework for Small Object Detection
Alina Ciocarlan, Sylvie Le Hegarat-Mascle, Sidonie Lefebvre +1
The detection of small objects is a challenging task in computer vision. Conventional object detection methods have difficulty in finding the balance between high detection and low…
Evaluating Crowd Density Estimators via Their Uncertainty Bounds
Jennifer Vandoni, Emanuel Aldea, Sylvie Le Hégarat-Mascle
In this work, we use the Belief Function Theory which extends the probabilistic framework in order to provide uncertainty bounds to different categories of crowd density estimators…
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…
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…