84 citations · 145 across the 4 of their papers we have counts for
5 papers
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors
Federico Baldassarre, Quentin Debard, Gonzalo Fiz Pontiveros +1
The proliferation of DeepFake technology is a rising challenge in today's society, owing to more powerful and accessible generation methods. To counter this, the research community…
Towards Self-Supervised Learning of Global and Object-Centric Representations
Federico Baldassarre, Hossein Azizpour
Self-supervision allows learning meaningful representations of natural images, which usually contain one central object. How well does it transfer to multi-entity scenes? We discus…
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
Federico Baldassarre, Kevin Smith, Josephine Sullivan +1
Visual relationship detection is fundamental for holistic image understanding. However, the localization and classification of (subject, predicate, object) triplets remain challeng…
Explainability Techniques for Graph Convolutional Networks
Federico Baldassarre, Hossein Azizpour
Graph Networks are used to make decisions in potentially complex scenarios but it is usually not obvious how or why they made them. In this work, we study the explainability of Gra…
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
Federico Baldassarre, Diego González Morín, Lucas Rodés-Guirao
We review some of the most recent approaches to colorize gray-scale images using deep learning methods. Inspired by these, we propose a model which combines a deep Convolutional Ne…