26 citations · 26 across the 2 of their papers we have counts for
7 papers
Density-based clustering with fully-convolutional networks for crowd flow detection from drones
Giovanna Castellano, Eugenio Cotardo, Corrado Mencar +1
Crowd analysis from drones has attracted increasing attention in recent times due to the ease of use and affordable cost of these devices. However, how this technology can provide…
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Dawei Du, Longyin Wen, Pengfei Zhu +52
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.…
A deep learning approach to clustering visual arts
Giovanna Castellano, Gennaro Vessio
Clustering artworks is difficult for several reasons. On the one hand, recognizing meaningful patterns based on domain knowledge and visual perception is extremely hard. On the oth…
Integrating Contextual Knowledge to Visual Features for Fine Art Classification
Giovanna Castellano, Giovanni Sansaro, Gennaro Vessio
Automatic art analysis has seen an ever-increasing interest from the pattern recognition and computer vision community. However, most of the current work is mainly based solely on…
Deep convolutional embedding for digitized painting clustering
Giovanna Castellano, Gennaro Vessio
Clustering artworks is difficult for several reasons. On the one hand, recognizing meaningful patterns in accordance with domain knowledge and visual perception is extremely diffic…
Visual link retrieval and knowledge discovery in painting datasets
Giovanna Castellano, Eufemia Lella, Gennaro Vessio
Visual arts are of inestimable importance for the cultural, historic and economic growth of our society. One of the building blocks of most analysis in visual arts is to find simil…