1 citations · 2 across the 4 of their papers we have counts for
12 papers
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…
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,…
The Group Loss++: A deeper look into group loss for deep metric learning
Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner +4
Deep metric learning has yielded impressive results in tasks such as clustering and image retrieval by leveraging neural networks to obtain highly discriminative feature embeddings…
Relaxation Labeling Meets GANs: Solving Jigsaw Puzzles with Missing Borders
Marina Khoroshiltseva, Arianna Traviglia, Marcello Pelillo +1
This paper proposes JiGAN, a GAN-based method for solving Jigsaw puzzles with eroded or missing borders. Missing borders is a common real-world situation, for example, when dealing…
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?
Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis +3
One of the most concerning threats for modern AI systems is data poisoning, where the attacker injects maliciously crafted training data to corrupt the system's behavior at test ti…
DSLib: An open source library for the dominant set clustering method
Sebastiano Vascon, Samuel Rota Bulò, Vittorio Murino +1
DSLib is an open-source implementation of the Dominant Set (DS) clustering algorithm written entirely in Matlab. The DS method is a graph-based clustering technique rooted in the e…