Thomas Frick

Title

Postdoc - AI Automation / Computer Vision

Bio

Welcome to my IBM Research Website Profile! I am a Pre-Doctoral Research at IBM Research AI. My research interests include Machine Learning, Neural Networks, and Computer Vision.

Publications

VP Lab: a PEFT-Enabled Visual Prompting Laboratory for Semantic Segmentation
- - Niccolo Avogaro
  - Thomas Frick
  - et al.
- 2025
- CVPR 2025
Segmentation of subretinal and intraretinal fluid on OCT B-scans using an easily fine-tunable and deployable, visual-prompting based computer vision model
- - Rui Santos
  - Thomas Frick
  - et al.
- 2025
- ARVO 2025
Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation
- - Niccolo Avogaro
  - Thomas Frick
  - et al.
- 2025
- TMLR
Probabilistic feature matching for fast scalable visual prompting
- - Thomas Frick
  - Cezary Skura
  - et al.
- 2024
- IJCAI 2024
AI for Bridge Inspection with IBM Inspecto
- - Cristiano Malossi
  - Roy Assaf
  - et al.
- 2024
- IABMAS 2024
Interactive Image Segmentation Guided by Visual Prompting
- - Thomas Frick
  - Cezary Skura
  - et al.
- 2024
- CVPR 2024
MC Layer Normalization for calibrated uncertainty in Deep Learning
- - Thomas Frick
  - Diego Antognini
  - et al.
- 2024
- TMLR
Towards Workﬂows for the Use of AI Foundation Models in Visual Inspection Applications
- - Mattia Rigotti
  - Diego Antognini
  - et al.
- 2023
- EUROSTRUCT 2023
Active Learning for Imbalanced Civil Infrastructure Data
- - Thomas Frick
  - Diego Antognini
  - et al.
- 2022
- ECCV 2022

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Projects

Visual Prompting
Using AI to build computer vision models within minutes, through quick intuitive prompts, and with just a few images
Inspecto – Large Vision Model Inspection Service
Increasing speed and quality of enterprise visual inspection, leveraging AI and domain-specific Large Vision Models