VP Lab: a PEFT-Enabled Visual Prompting Laboratory for Semantic Segmentation
- 2025
- CVPR 2025
Demo paper
Daniel Caraballo Rivera
Title
Research Scientist
Publications
Probabilistic feature matching for fast scalable visual prompting
- Thomas Frick
- Cezary Skura
- et al.
- 2024
- IJCAI 2024
Demo paperAI for Bridge Inspection with IBM Inspecto
- Cristiano Malossi
- Roy Assaf
- et al.
- 2024
- IABMAS 2024
Conference paperInteractive Image Segmentation Guided by Visual Prompting
- Thomas Frick
- Cezary Skura
- et al.
- 2024
- CVPR 2024
Demo paper
Projects
Accelerating computer simulations of complex physical and engineering systems through AI and novel algorithms
Using AI to build computer vision models within minutes, through quick intuitive prompts, and with just a few images
Increasing speed and quality of enterprise visual inspection, leveraging AI and domain-specific Large Vision Models
Top collaborators
TF
Thomas Frick
Research Scientist
CS
Cezary Skura
Software engineer
AB
Andrea Bartezzaghi
Research Staff Member
MR
Mattia Rigotti
Senior Research Scientist