7 papers
RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics
Sai Karthikeya Vemuri, Adithya Ashok Chalain Valapil, Tim Büchner +1
Transferring the recent advancements in deep learning into scientific disciplines is hindered by the lack of the required large-scale datasets for training. We argue that in these…
F-INR: Functional Tensor Decomposition for Implicit Neural Representations
Sai Karthikeya Vemuri, Tim Büchner, Joachim Denzler
Implicit Neural Representations (INRs) model signals as continuous, differentiable functions. However, monolithic INRs scale poorly with data dimensionality, leading to excessive t…
Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysis
Tim Büchner, Christoph Anders, Orlando Guntinas-Lichius +1
The relationship between muscle activity and resulting facial expressions is crucial for various fields, including psychology, medicine, and entertainment. The synchronous recordin…
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…
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…