This paper follows our work in 2016 and 2017 on MediaEval Predicting Media Interestingness Task.
We will describe our dataset, the models that were submitted to the task, and that exist in the literature.
In this paper, we propose a novel approach for real-time radar-based human activities detection and classification. In this approach, first, the radar transceiver is mounted on the room’s ceiling leading to considerable variations of the relative received power as the subject perform the different activities. Second, to exploit the different...
We present a novel learning-based approach to synthesize new views of a light field image. In particular, given the four corner views of a light field, the presented method estimates any in-between view. We use three sequential convolutional neural networks for feature extraction, scene geometry estimation and view selection. Compared...