166 citations · 690 across the 31 of their papers we have counts for
39 papers
Foveated Compression for Immersive Telepresence Visualization
Max Schwarz, Sven Behnke
Immersive televisualization is important both for telepresence and teleoperation, but resolution and fidelity are often limited by communication bandwidth constraints. We propose a…
Self-Centering 3-DoF Feet Controller for Hands-Free Locomotion Control in Telepresence and Virtual Reality
Raphael Memmesheimer, Christian Lenz, Max Schwarz +2
We present a novel seated feet controller for handling 3-DoF aimed to control locomotion for telepresence robotics and virtual reality environments. Tilting the feet on two axes yi…
FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features
Andre Rochow, Max Schwarz, Sven Behnke
The task of face reenactment is to transfer the head motion and facial expressions from a driving video to the appearance of a source image, which may be of a different person (cro…
Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping
Anas Gouda, Max Schwarz, Christopher Reining +2
Foundation models are a strong trend in deep learning and computer vision. These models serve as a base for applications as they require minor or no further fine-tuning by develope…
Attention-Based VR Facial Animation with Visual Mouth Camera Guidance for Immersive Telepresence Avatars
Andre Rochow, Max Schwarz, Sven Behnke
Facial animation in virtual reality environments is essential for applications that necessitate clear visibility of the user's face and the ability to convey emotional signals. In…
Learning from SAM: Harnessing a Foundation Model for Sim2Real Adaptation by Regularization
Mayara E. Bonani, Max Schwarz, Sven Behnke
Domain adaptation is especially important for robotics applications, where target domain training data is usually scarce and annotations are costly to obtain. We present a method f…