CALL for paper

Deep learning has reached impressive achievements in recent years, especially in the field of human analysis. Indeed, human-centered data are extremely widespread and have been intensely investigated by researchers belonging to very different fields. Nevertheless, the gap between theoretical research and its application is still large due to several factors: inconsistencies between public datasets and real-world data, lack of flexibility of neural networks, and the demand of industries for almost perfect accuracy when measuring human data.

For this reason, in this workshop, our goal is to push the exploration of all the real-world applications that human analysis can make possible to bring together academic and industrial researchers. These research efforts are motivated by the several highly informative aspects of humans that are worth exploring: in our case, we focus on the fine-grained analysis of the human body from images, i.e. a precise and non-invasive understanding of the information related to humans, such as their measures, poses, detection, and so on.

The huge amount and the extreme variety of this kind of data make the analysis and the use of learning approaches extremely challenging. Furthermore, considering the crucial impact of human-centered technologies in many industrial application domains, the demand for accurate models able also to run on mobile and embedded solutions is constantly increasing. 

Topics

We encourage submissions from all areas of computer vision,  focusing on the analysis of humans.  More general contributions such as novel theories, frameworks, architectures and datasets are also welcome. The topics of interest include but are not limited to: 

Domains

Both 2D and 3D Worlds, RGB Images, Depth Maps, Infrared Images, Thermal Images, Point Clouds, Multimodal Information

The workshop is organized in conjunction with the
18th European Conference on Computer Vision ECCV 2024
September 29th - October 4th, 2024 • Milan, Italy