88 citations · 224 across the 20 of their papers we have counts for
23 papers
Self-Balanced R-CNN for Instance Segmentation
Leonardo Rossi, Akbar Karimi, Andrea Prati
Current state-of-the-art two-stage models on instance segmentation task suffer from several types of imbalances. In this paper, we address the Intersection over the Union (IoU) dis…
Semantic Image Synthesis via Class-Adaptive Cross-Attention
Tomaso Fontanini, Claudio Ferrari, Giuseppe Lisanti +2
In semantic image synthesis the state of the art is dominated by methods that use customized variants of the SPatially-Adaptive DE-normalization (SPADE) layers, which allow for goo…
Automatic Generation of Semantic Parts for Face Image Synthesis
Tomaso Fontanini, Claudio Ferrari, Massimo Bertozzi +1
Semantic image synthesis (SIS) refers to the problem of generating realistic imagery given a semantic segmentation mask that defines the spatial layout of object classes. Most of t…
Memory-augmented Online Video Anomaly Detection
Leonardo Rossi, Vittorio Bernuzzi, Tomaso Fontanini +2
The ability to understand the surrounding scene is of paramount importance for Autonomous Vehicles (AVs). This paper presents a system capable to work in an online fashion, giving…
LDD: A Dataset for Grape Diseases Object Detection and Instance Segmentation
Leonardo Rossi, Marco Valenti, Sara Elisabetta Legler +1
The Instance Segmentation task, an extension of the well-known Object Detection task, is of great help in many areas, such as precision agriculture: being able to automatically ide…
Improving Localization for Semi-Supervised Object Detection
Leonardo Rossi, Akbar Karimi, Andrea Prati
Nowadays, Semi-Supervised Object Detection (SSOD) is a hot topic, since, while it is rather easy to collect images for creating a new dataset, labeling them is still an expensive a…