Finally we are online! Check the website of my group at the University of Padova. We conduct research in computer vision, applied machine (deep) learning, NLP and multimedia. We aim at developing artificially intelligent systems to help computers perform visual perception and recognition tasks.
I have been invited to contribute to the panel “Deep Learning, Pattern Recognition and Vision, which direction?” during the CVPL day in Modena, Italy, on “Why is Deep Learning so cool?” [slides available online]. The event has been opened by Naftali Tishby with a very interesting talk about “Information Theory of Deep Learning”. A similar talk is also available on YouTube.
CVPR is growing exponentially. This year in the beautiful Honolulu there are approx. 5K attendees. First, I will present our paper on “Localization of JPEG double compression through multi-domain convolutional neural networks” (Amerini, Uricchio, Ballan, Caldelli) at the CVPR’17 Workshop on Media Forensics. Then, I will give a keynote talk on “Exploiting noisy web data for large-scale visual recognition” at the CVPR’17 Workshop on Visual Understanding by Learning from Web Data [slides available online].
In the last months I gave several times this talk about my recent work on knowledge transfer for large-scale visual recognition problems (e.g. Aquifi Inc – Palo Alto, Google Research, UC Santa Cruz, MICC, U. of Parma, U. of Catania, U. of Padova, “Ca’ Foscari” U. Venice). The key idea of our work is to transfer prior contextual knowledge to novel scenes where it is hard to collect large-scale training data [slides available online].
I am co-organizing the 4th Int’l Workshop on Web-scale Vision and Social Media (VSM) at ECCV 2016, with Marco Bertini (Univ. Florence, Italy) and Thomas Mensink (Univ. Amsterdam, NL).
Website: https://sites.google.com/site/vsm2016eccv/
Vision and social media has recently become a very active inter-disciplinary research area, involving computer vision, multimedia, machine learning, and data mining. This workshop aims to bring together researchers in the related fields to promote new research directions for problems involving vision and social media, such as large-scale visual content analysis, search and mining.
Watch the TED 2015 talk by my postdoc advisor Prof. Fei-Fei Li about the recent advances in computer vision, from the detection and classification of objects in images to algorithms that are able to construct natural descriptions of those images. It is an exciting overview of the current state of the art in computer vision, in which she shares her thoughts on its potential use and impact. http://goo.gl/8O5Fch
I am finally settled at Stanford University and just started my appointment as postdoctoral scholar in the AI laboratory (SAIL) on a Marie Curie Fellowship from the European Commission.
I started working in Fei-Fei Li‘s Vision Lab. I am also collaborating with Silvio Savarese and Bernd Girod.
I have been awarded with a Marie Curie International Outgoing Fellowship (IOF) granted by the European Commission. The Marie Curie IOF is a prestigious and highly competitive fellowship for experienced European scientists to gain new skills and expertise while conducting high-level research in a country outside Europe.
I have been awarded a grant of 272K Euro for the 3-years project “EAGLE: Exploiting semAntic and social knowledGe for visuaL rEcognition”. I will spend the first two years (outgoing phase) at Stanford University.
Last friday I visited Fei-Fei Li’s Vision Lab at Stanford University and I had the pleasure of giving a very informal talk on our ongoing works on social media annotation. The slides of the talk are available online.
Andy Bagdanov and I are organizing a paper reading group on Multimedia and Vision at the MICC of University of Florence.
We plan a meeting once every three weeks (approximately), usually from 12.00 to 13.30. The schedule of our meetings and the material are available on this page.