Making Artificial Intelligence systems robustly perceive humans remains one of the most intricate challenges in computer vision. Among the most complex problems is reconstructing 3D models of human hands, a task with wide-ranging applications in robotics, animation, human-computer interaction, and augmented and virtual reality. The difficulty lies in the nature of hands themselves, often obscured while holding objects or contorted into challenging orientations during tasks like grasping.
How can mobile robots perceive and understand the environment correctly, even if parts of the environment are occluded by other objects? This is a key question that must be solved for self-driving vehicles to safely navigate in large crowded cities. While humans can imagine complete physical structures of objects even…
AI-generated texts are increasingly perceived as human, but people can still recognize human writing as such. However, this distinction becomes much more difficult once AI is explicitly instructed to come across as human. This is shown by research involving, among others, Tilburg University, published in the journal Nature Communications. Several…