publications

A list of my publications and preprints organized by year. I include also medical abstracts and conference posters (if available).

2026

  1. Vemuri, S. K., Büchner, T., & Denzler, J. (2026). F-INR: Functional Tensor Decomposition for Implicit Neural Representations. Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.48550/arXiv.2503.21507
  2. Vemuri, S. K., Valapil, A. A. C., Büchner, T., & Denzler, J. (2026). RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics. The 29th International Conference on Artificial Intelligence and Statistics (AISTATS). https://doi.org/10.48550/arXiv.2510.06020
  3. Wei, M., Sickert, S., Büchner, T., Zhang, Y., Xu, Z., & Denzler, J. (2026). Learning improved representations in encoder-decoder networks for point cloud registration via point interaction modules. In Scientific Reports. Nature Publishing Group UK London.
  4. Vemuri, S. K., Büchner, T., Niebling, J., & Denzler, J. (2026). Scalable and Expressive Physics-Informed Neural Networks via Functional Tensor Decomposition. In Pattern Recognition Letters. Elsevier.

2025

  1. Büchner, T., Sickert, S., Volk, G. F., Guntinas-Lichius, O., & Denzler, J. (2025). Assessing 3D Volumetric Asymmetry in Facial Palsy Patients via Advanced Multi-view Landmarks and Radial Curves [Article]. Machine Vision and Applications, 36(1). https://doi.org/10.1007/s00138-024-01616-1
  2. Asato, A. E. B., Guimaraes-Steinicke, C., Stein, G., Schreck, B., Kattenborn, T., Ebeling, A., Posch, S., Denzler, J., Büchner, T., Shadaydeh, M., Wirth, C., Eisenhauer, N., & Hines, J. (2025). Seasonal Shifts in Plant Diversity Effects on Above-Ground-Below-Ground Phenological Synchrony [Article]. Journal of Ecology, n/a(n/a). https://doi.org/10.1111/1365-2745.14470
  3. Büchner, T., Anders, C., Guntinas-Lichius, O., & Denzler, J. (2025). Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysis. ArXiv Preprint ArXiv:2503.09556. https://doi.org/10.1109/CVPR52734.2025.00029
  4. Sickert, S., Gogolev, M., Penzel, N., Büchner, T., & Denzler, J. (2025). Modifying Generative Distributions in Latent Diffusion Models to Improve Alignment with Desired Properties. International Conference on Machine Vision and Applications (MVA), 1–6. https://doi.org/10.23919/MVA65244.2025.11175117
  5. Baum, J., Büchner, T., Volk, G. F., Guntinas-Lichius, O., & others. (2025). Use of artificial intelligence-based facial expression recognition for diagnosis and therapy monitoring in patients with post-paralytic facial nerve syndrome.

2024

  1. Büchner, T., Sickert, S., Volk, G. F., Denzler, J., & Guntinas-Lichius, O. (2024). An Automatic, Objective Method to Measure and Visualize Volumetric Changes in Patients with Facial Palsy during 3D Video Recordings [Abstract]. 95th Annual Meeting German Society of Oto-Rhino-Laryngology, Head and Neck Surgery e. V., Bonn, 103. https://doi.org/10.1055/s-0044-1784545
  2. Büchner, T., Mothes, O., Guntinas-Lichius, O., & Denzler, J. (2024). JeFaPaTo - A joint toolbox for blinking analysis and facial features extraction. Journal of Open Source Software, 9(97), 6425. https://doi.org/10.21105/joss.06425
  3. Büchner, T., Sickert, S., Volk, G. F., Heinrich, M., Denzler, J., & Guntinas-Lichius, O. (2024). Measuring and Visualizing Volumetric Changes Before and After 10-Day Biofeedback Therapy in Patients with Synkinetic Facial Palsy Using 3D Video Recordings [Abstract]. Congress of the Confederation of European ORL-HNS. https://ceorlhns2024.abstractserver.com/program/#/details/presentations/1809
  4. Büchner, T., Penzel, N., Guntinas-Lichius, O., & Denzler, J. (2024). The Power of Properties: Uncovering the Influential Factors in Emotion Classification. International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI). https://doi.org/doi.org/10.1007/978-981-97-8705-0_32
  5. Büchner, T., Sickert, S., Volk, G. F., Anders, C., Denzler, J., & Guntinas-Lichius, O. (2024). Reducing the Gap Between Mimics and Muscles by Enabling Facial Feature Analysis during sEMG Recordings [Abstract]. Congress of the Confederation of European ORL-HNS. https://ceorlhns2024.abstractserver.com/program/#/details/presentations/1806
  6. Vemuri, S. K., Büchner, T., & Denzler, J. (2024). Estimating Soil Hydraulic Parameters for Unsaturated Flow using Physics-Informed Neural Networks. In L. Franco, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), International Conference on Computational Science (ICCS) (pp. 338–351). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-63759-9_37
  7. Xie, Y., Büchner, T., Schuhmann, L., Guntinas-Lichius, O., & Denzler, J. (2024). Unsupervised Learning of Eye State Prototypes for Semantically Rich Blinking Detection. Digital Health & Informatics Innovations for Sustainable Health Care Systems, 316, 1607–1611. https://doi.org/10.3233/SHTI240731
  8. Vemuri, S. K., Büchner, T., Niebling, J., & Denzler, J. (2024). Functional Tensor Decompositions for Physics-Informed Neural Networks. International Conference on Pattern Recognition (ICPR), 32–46. https://doi.org/10.1007/978-3-031-78389-0_3
  9. Schuhmann, L., Büchner, T., Heinrich, M., Volk, G. F., Denzler, J., & Guntinas-Lichius, O. (2024). Automated Analysis of Spontaneous Eye Blinking in Patients with Acute Facial Palsy or Facial Synkinesis. Nature Scientific Reports, 14(1), 17726. https://doi.org/10.1038/s41598-024-68707-x
  10. Büchner, T., Penzel, N., Guntinas-Lichius, O., & Denzler, J. (2024, December). Facing Asymmetry - Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions. Asian Conference on Computer Vision (ACCV). https://doi.org/10.1007/978-981-96-0911-6_26

2023

  1. Büchner, T., Sickert, S., Volk, G. F., Guntinas-Lichius, O., & Denzler, J. (2023). From Faces To Volumes - Measuring Volumetric Asymmetry in 3D Facial Palsy Scans. International Symposium on Visual Computing (ISVC), 121–132. https://doi.org/10.1007/978-3-031-47969-4_10
  2. Büchner, T., Guntinas-Lichius, O., & Denzler, J. (2023). Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs. In W. P. J. Blanc-Talon D. Popescu & P. Scheunders (Eds.), Advanced Concepts for Intelligent Vision Systems (Acivs) (pp. 262–274). SpringerNature. https://doi.org/10.1007/978-3-031-45382-3_22
  3. Büchner, T., Sickert, S., Volk, G. F., Anders, C., Guntinas-Lichius, O., & Denzler, J. (2023). Let’s Get the FACS Straight - Reconstructing Obstructed Facial Features. International Conference on Computer Vision Theory and Applications (VISAPP), 727–736. https://doi.org/10.5220/0011619900003417
  4. Büchner, T., Sickert, S., Graßme, R., Anders, C., Guntinas-Lichius, O., & Denzler, J. (2023). Using 2D and 3D Face Representations to Generate Comprehensive Facial Electromyography Intensity Maps. International Symposium on Visual Computing (ISVC), 136–147. https://doi.org/10.1007/978-3-031-47966-3_11

2022

  1. Büchner, T., Sickert, S., Volk, G. F., Guntinas-Lichius, O., & Denzler, J. (2022). Automatic Objective Severity Grading of Peripheral Facial Palsy Using 3D Radial Curves Extracted from Point Clouds. Challenges of Trustable AI and Added-Value on Health, 294, 179–183. https://doi.org/10.3233/SHTI220433
  2. Festag, S., Stein, G., Büchner, T., Shadaydeh, M., Denzler, J., & Spreckelsen, C. (2022). Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach. Computing in Cardiology (CinC), 498, 1–4. https://doi.org/10.22489/CinC.2022.137