Scholar
Francesco Ferroni
Google Scholar ID: gNgfYKcAAAAJ
NVIDIA
Citations & Impact
Citations
1,188
H-index
15
i10-index
22
Publications
20
Co-authors
0
Publications
Resume (English only)
Research Experience
- Principal Researcher at NVIDIA; Previously, Software Engineering Manager at ArgoAI, led multiple teams working on computer vision and machine learning for autonomous vehicles, primarily in the context of onboard perception and mapping/localization.
Education
- DPhil in Computational Physics, 2015, Oxford University, under Prof. Steve Roberts; MEng in Mechanical Engineering, 2012, Imperial College London
Background
- Current interests are multi-modal models (i.e. text+vision), zero/few-shot and open-set learning, and NeRFs. Enjoys being at the interface of large-scale engineering projects and cutting edge academic research. Has a track record of delivering innovative solutions to machine learning problems, either embedded in robots or in the cloud.
Miscellany
- Proficient in Python, C++, and CUDA. Interests include Computer Vision, Machine Learning, Robotics, and Startups.
Co-authors