665 citations · 1.3k across the 35 of their papers we have counts for
48 papers
Nash Meets Wertheimer: Using Good Continuation in Jigsaw Puzzles
Marina Khoroshiltseva, Luca Palmieri, Sinem Aslan +2
Jigsaw puzzle solving is a challenging task for computer vision since it requires high-level spatial and semantic reasoning. To solve the problem, existing approaches invariably us…
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training
Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor +4
Deep learning models undergo a significant increase in the number of parameters they possess, leading to the execution of a larger number of operations during inference. This expan…
Reassembling Broken Objects using Breaking Curves
Ali Alagrami, Luca Palmieri, Sinem Aslan +2
Reassembling 3D broken objects is a challenging task. A robust solution that generalizes well must deal with diverse patterns associated with different types of broken objects. We…
On generalized KKT points for the Motzkin-Straus program
G. Beretta, A. Torcinovich, M. Pelillo
In 1965, T. S. Motzkin and E. G. Straus established an elegant connection between the clique number of a graph and the global maxima of a quadratic program defined on the standard…
Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solving
Ben Vardi, Alessandro Torcinovich, Marina Khoroshiltseva +2
We present a novel method for solving square jigsaw puzzles based on global optimization. The method is fully automatic, assumes no prior information, and can handle puzzles with k…
Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding
Hebatallah A. Mohamed, Sebastiano Vascon, Feliks Hibraj +4
Knowledge Graphs (KGs) have proven to be a reliable way of structuring data. They can provide a rich source of contextual information about cultural heritage collections. However,…