no code implementations • CVPR 2022 • Marco Cipriano, Stefano Allegretti, Federico Bolelli, Federico Pollastri, Costantino Grana
By combining a segmentation model trained on the 3D annotated data and label propagation, we significantly improve the state of the art in the Inferior Alveolar Nerve segmentation.
no code implementations • CVPR 2017 • Lorenzo Baraldi, Costantino Grana, Rita Cucchiara
The use of Recurrent Neural Networks for video captioning has recently gained a lot of attention, since they can be used both to encode the input video and to generate the corresponding description.
no code implementations • 5 Oct 2016 • Lorenzo Baraldi, Costantino Grana, Rita Cucchiara
This paper presents a novel approach for temporal and semantic segmentation of edited videos into meaningful segments, from the point of view of the storytelling structure.
no code implementations • 9 Apr 2016 • Lorenzo Baraldi, Costantino Grana, Rita Cucchiara
This paper presents a novel retrieval pipeline for video collections, which aims to retrieve the most significant parts of an edited video for a given query, and represent them with thumbnails which are at the same time semantically meaningful and aesthetically remarkable.
no code implementations • 29 Oct 2015 • Lorenzo Baraldi, Costantino Grana, Rita Cucchiara
We present a model that automatically divides broadcast videos into coherent scenes by learning a distance measure between shots.