6 citations · 7 across the 5 of their papers we have counts for
5 papers
Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions
Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius +1
Understanding expressions is vital for deciphering human behavior, and nowadays, end-to-end trained black box models achieve high performance. Due to the black-box nature of these…
Functional Tensor Decompositions for Physics-Informed Neural Networks
Sai Karthikeya Vemuri, Tim Büchner, Julia Niebling +1
Physics-Informed Neural Networks (PINNs) have shown continuous and increasing promise in approximating partial differential equations (PDEs), although they remain constrained by th…
The Power of Properties: Uncovering the Influential Factors in Emotion Classification
Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius +1
Facial expression-based human emotion recognition is a critical research area in psychology and medicine. State-of-the-art classification performance is only reached by end-to-end…
JeFaPaTo -- A joint toolbox for blinking analysis and facial features extraction
Tim Büchner, Oliver Mothes, Orlando Guntinas-Lichius +1
Analyzing facial features and expressions is a complex task in computer vision. The human face is intricate, with significant shape, texture, and appearance variations. In medical…
Let's Get the FACS Straight -- Reconstructing Obstructed Facial Features
Tim Büchner, Sven Sickert, Gerd Fabian Volk +3
The human face is one of the most crucial parts in interhuman communication. Even when parts of the face are hidden or obstructed the underlying facial movements can be understood.…