Thomas Frick

According to our database, Thomas Frick authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Cracks in the Foundation: A Civil Infrastructure Dataset to Challenge Vision Foundation Models.

Nicola Farronato, Niccolò Avogaro, Thomas Frick, Mattia Rigotti, Rizwan Ullah Khan, Michele Magno, Konrad Schindler, Cristiano Malossi, Florian Scheidegger

CoRR, May, 2026

Faster by Design: Interactive Aerodynamics via Neural Surrogates Trained on Expert-Validated CFD.

Nicholas Thumiger, Andrea Bartezzaghi, Mattia Rigotti, Cezary Skura, Thomas Frick, Elisa Serioli, Fabrizio Arbucci, A. Cristiano I. Malossi

CoRR, April, 2026

GIST: Gauge-Invariant Spectral Transformers for Scalable Graph Neural Operators.

Mattia Rigotti, Nicholas Thumiger, Thomas Frick

CoRR, March, 2026

SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs.

Niccolò Avogaro, Nayanika Debnath, Li Mi, Thomas Frick, Junling Wang, Zexue He, Hang Hua, Konrad Schindler, Mattia Rigotti

CoRR, February, 2026

2025

VP Lab: a PEFT-Enabled Visual Prompting Laboratory for Semantic Segmentation.

Niccolò Avogaro, Thomas Frick, Yagmur Gizem Cinar, Daniel Caraballo, Cezary Skura, Filip Janicki, Piotr Kluska, Brown Ebouky, Nicola Farronato, Florian Scheidegger, Cristiano Malossi, Konrad Schindler, Andrea Bartezzaghi, Roy Assaf, Mattia Rigotti

CoRR, May, 2025

Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation.

Niccolò Avogaro, Thomas Frick, Mattia Rigotti, Andrea Bartezzaghi, Filip Janicki, A. Cristiano I. Malossi, Konrad Schindler, Roy Assaf

Trans. Mach. Learn. Res., 2025

2024

Data Centric AI.

Thomas Frick

PhD thesis, 2024

MC Layer Normalization for calibrated uncertainty in Deep Learning.

Thomas Frick, Diego Antognini, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi, Rong J. B. Zhu, Mattia Rigotti

Trans. Mach. Learn. Res., 2024

Probabilistic Feature Matching for Fast Scalable Visual Prompting.

Thomas Frick, Cezary Skura, Filip Janicki, Roy Assaf, Niccolò Avogaro, Daniel Caraballo, Yagmur Gizem Cinar, Brown Ebouky, Ioana Giurgiu, Takayuki Katsuki, Piotr Kluska, Cristiano Malossi, Haoxiang Qiu, Tomoya Sakai, Florian Scheidegger, Andrej Simeski, Daniel Yang, Andrea Bartezzaghi, Mattia Rigotti

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2022

Active Learning for Imbalanced Civil Infrastructure Data.

Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Preictal onset detection through unsupervised clustering for epileptic seizure prediction.

Alessio Quercia, Thomas Frick, Fabian Emanuel Egli, Nicholas Pullen, Isabelle Dupanloup, Jianbin Tang, Umar Asif, Stefan Harrer, Thomas Brunschwiler

Proceedings of the IEEE International Conference on Digital Health, 2021

Exploring Relationships between Cerebral and Peripheral Biosignals with Neural Networks.

Alexander H. Hatteland, Ricards Marcinkevics, Renaud Marquis, Thomas Frick, Ilona Hubbard, Julia E. Vogt, Thomas Brunschwiler, Philippe Ryvlin

Proceedings of the IEEE International Conference on Digital Health, 2021

2020

Explainable Deep Learning for Medical Time Series Data.

Thomas Frick, Stefan Glüge, Abbas Rahimi, Luca Benini, Thomas Brunschwiler

Proceedings of the Wireless Mobile Communication and Healthcare, 2020