Sports involve commonly players and equipment of high dynamics. Their location and
motion data are essential for sports digitalization-related applications, such as from …

The interest in action and gesture recognition has grown considerably in the last years. In
this paper, we present a survey on current deep learning methodologies for action and …

Human motion prediction, the task of predicting future 3D human poses given a sequence of
observed ones, has been mostly treated as a deterministic problem. However, human …

Background High resolution and high throughput genotype to phenotype studies in plants
are underway to accelerate breeding of climate ready crops. In the recent years, deep …

We tackle the task of diverse 3D human motion prediction, that is, forecasting multiple
plausible future 3D poses given a sequence of observed 3D poses. In this context, a popular …

We consider the problem of future event prediction in video: if and when a future event will
occur. To this end, we propose a number of representations and loss functions tailored to …

Locating human action in spatio-temporal domain among untrimmed videos is an important
but challenging task. Recent works have shown that incorporating contextual information …

Recently, image based plant phenotyping is used extensively for plant trait estimation, plant
accession classification and selection, and plant stress analysis. Plant accession …

Methods, systems, and/or apparatuses are described for detecting relevant motion of objects
of interest (eg, persons and vehicles) in surveillance videos. As described herein input data …

Human activity localization aims to recognize category labels and detect the spatio-temporal
locations of activities in video sequences. Existing activity localization methods suffer from …