4 citations · 4 across the 3 of their papers we have counts for
3 papers
FLODCAST: Flow and Depth Forecasting via Multimodal Recurrent Architectures
Andrea Ciamarra, Federico Becattini, Lorenzo Seidenari +1
Forecasting motion and spatial positions of objects is of fundamental importance, especially in safety-critical settings such as autonomous driving. In this work, we address the is…
Deepfake detection by exploiting surface anomalies: the SurFake approach
Andrea Ciamarra, Roberto Caldelli, Federico Becattini +2
The ever-increasing use of synthetically generated content in different sectors of our everyday life, one for all media information, poses a strong need for deepfake detection tool…
Forecasting Future Instance Segmentation with Learned Optical Flow and Warping
Andrea Ciamarra, Federico Becattini, Lorenzo Seidenari +1
For an autonomous vehicle it is essential to observe the ongoing dynamics of a scene and consequently predict imminent future scenarios to ensure safety to itself and others. This…