Daniel Eskandar

I am a master’s student in Machine Learning at the University of Tübingen and an ELIZA scholarship recipient. My research lies at the intersection of computer vision, graphics, and machine learning, with a focus on 3D reconstruction and representation learning. At the Real Virtual Humans group led by Prof. Gerard Pons-Moll, I have worked on controllable facial avatars, 3D reconstruction of humans in clothing, and human-object interaction. I am broadly interested in how we can capture, model, and understand the 3D world from visual data, with applications in digital humans, AR, and VR. I plan to pursue a PhD to deepen my research and contribute to this field.