Paolo
Rota

I’m a researcher in the field of Computer Vision and Machine Learning, acting as Assistant Professor (RTDa) in the MHUG group of prof. Nicu Sebe at the University of Trento (Italy).

General Info

  • Date of BirthNov 09, 1982
  • AddressVia Sommarive 9, Povo (TN), Italy
  • E-mailpaolo [dot] rota [at] unitn [dot] it
  • Phone +39 0461 282439

Languages

  • Italian
  • English
  • Spanish
  • German

Short Bio

I have received the PhD in Information and Communication Technologies from the University of Trento in 2015. After 2 years as Marie Curie Fellow at TU Wien (Austria) in Computer Vision Lab (CVL), I joined the Pattern Analysis and Computer Vision (PAVIS) group of Prof. Vittorio Murino at the Istituto Italiano di Tecnologia (IIT) in Genova. On August 2018 I moved back to my home region working for the Caritro Deep Learning Lab of the ProM facility of Rovereto. In July 2019 I joined MHUG group of prof. Nicu Sebe as an Assistant Professor (RTD-A). I am still collaborating with the ProM Facility of Rovereto where I am responsible for the activity of the Caritro Deep Learning lab.
My research interests are in the field of Computer Vision and Machine Learning, in particular on topics such as scene understanding and multimodal learning. I am acting as reviewer for various prestigious conferences in the field (e.g.: CVPR, ECCV, ICCV, etc.).

Selected Publications

  • Conigliaro, Davide, Paolo Rota, Francesco Setti, Chiara Bassetti, Nicola Conci, Nicu Sebe, and Marco Cristani. "The s-hock dataset: Analyzing crowds at the stadium." In Proceedings of CVPR 2015.

  • Rota, Paolo, Nicola Conci, and Nicu Sebe. "Real time detection of social interactions in surveillance video." In European Conference on Computer Vision 2012.

  • Reiter, Michael, Paolo Rota, Florian Kleber, Markus Diem, Stefanie Groeneveld-Krentz, and Michael Dworzak. "Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures." Pattern Recognition (2016)

  • Setti, Francesco, Davide Conigliaro, Paolo Rota, Chiara Bassetti, Nicola Conci, Nicu Sebe, and Marco Cristani. "The S-Hock dataset: A new benchmark for spectator crowd analysis." Computer Vision and Image Understanding 159 (2017): 47-58.

  • Rota, Paolo, Enver Sangineto, Valentina Conotter, and Christopher Pramerdorfer. "Bad teacher or unruly student: Can deep learning say something in image forensics analysis?." ICPR 2016.

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