190 citations · 295 across the 16 of their papers we have counts for
13 papers · 1 filter
A mixed-reality dataset for category-level 6D pose and size estimation of hand-occluded containers
Xavier Weber, Alessio Xompero, Andrea Cavallaro
Estimating the 6D pose and size of household containers is challenging due to large intra-class variations in the object properties, such as shape, size, appearance, and transparen…
Content-based Graph Privacy Advisor
Dimitrios Stoidis, Andrea Cavallaro
People may be unaware of the privacy risks of uploading an image online. In this paper, we present Graph Privacy Advisor, an image privacy classifier that uses scene information an…
BON: An extended public domain dataset for human activity recognition
Girmaw Abebe Tadesse, Oliver Bent, Komminist Weldemariam +3
Body-worn first-person vision (FPV) camera enables to extract a rich source of information on the environment from the subject's viewpoint. However, the research progress in wearab…
Improving filling level classification with adversarial training
Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla +2
We investigate the problem of classifying - from a single image - the level of content in a cup or a drinking glass. This problem is made challenging by several ambiguities caused…
Underwater image filtering: methods, datasets and evaluation
Chau Yi Li, Riccardo Mazzon, Andrea Cavallaro
Underwater images are degraded by the selective attenuation of light that distorts colours and reduces contrast. The degradation extent depends on the water type, the distance betw…
Exploiting vulnerabilities of deep neural networks for privacy protection
Ricardo Sanchez-Matilla, Chau Yi Li, Ali Shahin Shamsabadi +2
Adversarial perturbations can be added to images to protect their content from unwanted inferences. These perturbations may, however, be ineffective against classifiers that were n…