Probabilistic feature matching for fast scalable visual prompting
- Thomas Frick
- Cezary Skura
- et al.
- 2024
- IJCAI 2024
Ioana Giurgiu
Overview
Title
Senior Research Scientist and Manager
Location
IBM Research Europe - Zurich
Zurich, Switzerland
Bio
I joined IBM in 2012 and am currently a Senior Research Scientist of the AI Automation group, where I am leading the anomaly detection for visual inspection effort. My interests mainly revolve around explainable and robust AI (in particular deep learning models), unsupervized learning, as well as predictive analytics.
I graduated with a Ph.D. in Computer Science from the Swiss Federal Institute of Technology (ETHZ) in September 2012. Prior to that, in 2008 I got my Eng. degree in Computer Science from the Technical University of Cluj-Napoca, Romania.
Publications
AI for Bridge Inspection with IBM Inspecto
- 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
Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures
- Klara Janouskova
- Mattia Rigotti
- et al.
- 2022
- ECCV 2022
Active Learning for Imbalanced Civil Infrastructure Data
- Thomas Frick
- Diego Antognini
- et al.
- 2022
- ECCV 2022
Attention-based Interpretability with Concept Transformers
- Mattia Rigotti
- Christoph Miksovic Czasch
- et al.
- 2022
- ICLR 2022
CCA: An ML Pipeline for Cloud Anomaly Troubleshooting
- Lili Georgieva
- Ioana Giurgiu
- et al.
- 2022
- AAAI 2022
Patents
- JP
- 7586613
- US
- 11675799
- US
- 11243833
- US
- 10074055
- US
- 9406023
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
Top collaborators
MR
Mattia Rigotti
Senior Research Scientist
CM
Cristiano Malossi
Principal Research Scientist and Manager
TF
Thomas Frick
Pre-Doctoral Researcher
FS
Florian Scheidegger
Research Scientist