Conferences
10–15 January 2021, Milan, Italy
3D Human Understanding (3DHU 2020)
The significant recent advancements in research fields such as robotics, autonomous driving, or human-machine interaction strongly renewed the interest in understanding the 3D world. In this context, interpreting the behavior of humans represents a crucial step towards the development of systems able to naturally blend into the real world.
Other than that, 3D data represents a richer source of information compared to 2D images or video sequences, and the development of new affordable and accurate 3D acquisition sensors is making the application of machine learning algorithms possible in real scenarios, further posing new challenges and practical issues.
The goal of this workshop is to bring together and unify research efforts in the field of 3D human understanding, spanning a variety of both theoretical and applicative topics. In the context of human analysis, there are several technical problems that are still open and that this workshop aims to address.
Keywords: 3D Reconstruction, Pose Estimation, Geometric Deep Learning, Neural Rendering, Action and Gesture Recognition, Point-clouds and meshes, monocular depth.
