Alessandro Ferrari

Italia Informazioni di contatto
52.312 follower Oltre 500 collegamenti

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Informazioni

I am the founder and CEO of ARGO Vision, an innovative startup that excels in computer…

Articoli di Alessandro

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Esperienza e formazione

  • ARGO Vision

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Pubblicazioni

  • TINYCD: A (Not So) Deep Learning Model For Change Detection

    👉 In this work we propose a novel model, called TinyCD, demonstrating to be both lightweight and effective, able to achieve performances comparable or even superior to the current state of the art with 13-150X fewer parameters. In our approach we have exploited the importance of low-level features to compare images. To do this, we use only few backbone blocks. This strategy allow us to keep the number of network parameters low. To compose the features extracted from the two images, we…

    👉 In this work we propose a novel model, called TinyCD, demonstrating to be both lightweight and effective, able to achieve performances comparable or even superior to the current state of the art with 13-150X fewer parameters. In our approach we have exploited the importance of low-level features to compare images. To do this, we use only few backbone blocks. This strategy allow us to keep the number of network parameters low. To compose the features extracted from the two images, we introduce a novel, economical in terms of parameters, mixing block capable of cross correlating features in both space and time domains. Finally, to fully exploit the information contained in the computed features, we define the PW-MLP block able to perform a pixel wise classification.

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  • Boosted Tracking in Video

    Image Analysis and Processing – ICIAP 2009. Lecture Notes in Computer Science.

    👉 A probabilistic interpretation of the output provided by a cascade of boosted classifiers can be exploited for Bayesian tracking in video streams. In particular, real-time face and body detection can be achieved by relying on such a Bayesian framework. Results show that such integrated approach is appealing with respect both to robustness and computational efficiency.

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  • Real-Time Probabilistic Tracking of Faces in Video

    ICIAP 2009: Image Analysis and Processing

    👉 Real-time face detection and tracking in video can be achieved by relying on a Bayesian approach realized in a multi-threaded architecture. To this end we propose a probabilistic interpretation of the output provided by a cascade of AdaBoost classifiers. Results show that such integrated approach is appealing with respect either to robustness and computational efficiency.

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Riconoscimenti e premi

  • 🏆"Net economy ideas" award

    Università Commerciale Luigi Bocconi - Milano

  • 🏆Scholarship (highest grade point average)

    ITIS Galileo Galilei - Milano

Lingue

  • Italian

    Conoscenza madrelingua o bilingue

  • English

    Conoscenza professionale

  • Italiano

    Conoscenza madrelingua o bilingue

  • Inglese

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