665 citations · 1.3k across the 35 of their papers we have counts for
4 papers · 1 filter
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…