most citedThe Power of Properties: Uncovering the Influential Factors in Emotion Classification

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2025

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…

cs.CV2025

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…

cs.LG2025

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…

cs.CV2024

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…

cs.LG2024

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…

cs.CV2024★ 1 cited

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…

cs.CV2024

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…