Lennart Eing

Lennart Eing is a Researcher at the Chair for Human-Centered Artificial Intelligence at the University of Augsburg. He contributes to projects focusing on multimodal neural networks, self-supervised learning, and sign language recognition systems.

• Research Interests: Multimodal neural networks, self-supervised learning, deep learning, few-shot learning, sign language recognition, 3D hand mesh reconstruction, physiological constraints in machine learning.

He actively engages in GitHub projects, particularly related to self-supervised learning applications for sign language translation and dataset management. His work often involves refining models like HaMeR and MANO for improved 3D reconstruction and implementing attentive probing techniques with Sapiens features.

Contact: lennart.eing@uni-a.de