VP Lab: a PEFT-Enabled Visual Prompting Laboratory for Semantic Segmentation
- 2025
- CVPR 2025
Niccolo Avogaro
Title
Predoctoral Researcher
Bio
Niccolo Avogaro is a predoctoral researcher specializing in foundation models for dense image recognition. With a background in mechanical engineering, robotics, and artificial intelligence, his work focuses on advancing the capabilities of multimodal systems in complex visual environments.
Publications
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
- 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
Projects
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
Postdoc - AI Automation / Computer Vision
CM
Cristiano Malossi
Principal Research Scientist and Manager
AB
Andrea Bartezzaghi
Research Staff Member
MR
Mattia Rigotti
Senior Research Scientist