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Alessandro Ferrari
Founder, CEO @ARGO Vision | Contract Professor @UniPV | Computer Vision & AI
Alessandro Ferrari is a multifaceted professional in the field of computer vision and artificial intelligence. He serves as a Contract Professor at the Università di Pavia (UniPV).24 Additionally, Ferrari is the founder and CEO of ARGO Vision, an innovative startup specializing in computer vision technology.15
Professional Background
Ferrari's expertise spans several areas:
- Artificial Intelligence: He has significant experience in AI research and applications.24
- Computer Vision: This is a core focus of his work, both in academia and industry.24
- Deep Learning: Ferrari has contributed to the field of deep learning.24
Current Roles
- Academic: Contract Professor at Università di Pavia (UniPV).24
- Industry: Founder and CEO of ARGO Vision.15
Education
Ferrari received his education from the Università degli Studi di Milano (University of Milan).13
Online Presence
Alessandro Ferrari maintains an active online presence:
- LinkedIn: His profile can be found under the username "visionarynet".1
- Google Scholar: He has a verified Google Scholar profile, indicating his contributions to academic research.24
- Twitter: Ferrari is active on Twitter (now X) under the handle @vs_AR.36
Ferrari describes himself as a former computer scientist who now leads a company with "smart guys".5 His work at ARGO Vision appears to focus on innovative applications of computer vision and artificial intelligence technologies.
Highlights
🫒🫒 Omni Urban Scene Reconstruction 🫒🫒
👉OmniRe: novel holistic approach for efficiently reconstructing HD dynamic urban scenes from on-device logs. It's able to create the simulation of reconstructed scenarios with actors in real-time (~60 Hz). Source Code released💙
𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: ✅Holistic framework for dynamic driving scene ✅Embodying “omni” principle for coverage/flexibility ✅Unifying BG, vehicles & non-rigidly moving actors ✅Scene/sensor simulation & editing in real-time ✅SOTA in scene reconstruction & novel view synthesis ✅Authors: JTU, Toronto, Stanford, #NVIDIA & USC
#artificialintelligence #machinelearning #ml #AI #deeplearning #computervision #AIwithPapers #metaverse
👉Discussion https://lnkd.in/dMgakzWm 👉Paper https://lnkd.in/dkUNyRP5 👉Project https://lnkd.in/dQmMsXn7 👉Code https://lnkd.in/dXYutGGW
🐺🐺Diffusion is a Real-Time Game Engine🐺🐺
👉#Google unveils GameNGen: the first game engine powered entirely by a neural #AI that enables real-time interaction with a complex environment over long trajectories at HQ. GameNGen can interactively simulate #DOOM at >20 FPS on a single TPU. No code announced but I love it💙
𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: ✅Games like #DOOM at >20FPS on a single TPU ✅RL-agent learns to play, training sessions recorded ✅Diffusion model is trained to produce the next frame ✅New frames conditioned on past ones and actions ✅Stable auto-regressive generation over long trajectories
#artificialintelligence #machinelearning #ml #AI #deeplearning #computervision #AIwithPapers #metaverse
👉Discussion https://lnkd.in/dMgakzWm 👉Paper https://lnkd.in/dZqgiqb9 👉Project https://lnkd.in/dJUd2Fr6
