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Alessio Xompero

PhD student
Short bio

Alessio is a PhD Candidate at Queen Mary University of London.  He works on an Audio-Visual Intelligent Sensing Project with a joint studentship (2015-2019) of FBK and QMUL under the supervision of Prof. Andrea Cavallaro (QMUL) and Oswald Lanz (FBK).

Alessio obtained both the Bachelor degree in Electronic and Telecommunications Engineering (2008-2012) and the Master degree (2-years) in Telecommunications Engineering (2012-2015) at University of Trento, Italy. He took his master thesis project (March-August 2014) on Multiple Object Tracking with the PERCEPTION team at INRIA Grenoble Rhone-Alpes, under the supervision of Prof. Radu Horaud (INRIA) and Nicola Conci (MMLAB, UNITN), and co-advised by Xavier-Alameda Pineda and Sileye Ba. After the Master, he collaborated with the MMLAB (UNITN) for 5 months before starting the PhD programme.

Research interests
Local image and spatio-temporal features mobile camera networks audio-visual object tracking
O. Lanz, A. Brutti, A. Xompero, X. Qian, M. Omologo, and A. Cavallaro, "Accurate Target Annotation in 3D from Multimodal Streams", in Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.
A. Xompero, O. Lanz, and A. Cavallaro, "Multi-camera Matching of Spatio-Temporal Binary Features", 21st International Conference on Information Fusion (FUSION), Cambridge, UK, July 2018.
A. Xompero, O. Lanz, and A. Cavallaro,"MORB: a multi-scale binary descriptor", in Proc. International Conference Image Processing (ICIP), Athens, Greece, October 2018.
X. Qian, A. Xompero, A. Brutti, O. Lanz, M. Omologo, and A. Cavallaro, ”3D mouth tracking from a compact microphone array co-located with a camera", in Proc. International Conference on Acustics, Speech and Signal Processing (ICASSP), Calgary, Canada, April 2018.
S. Ba, X. Alameda-Pineda, A. Xompero, and R. Horaud, “An On-line Variational Bayesian Model for Multi-Person Tracking from Cluttered Scenes”, in Computer Vision and Image Understanding, vol. 153, pp. 64-76, 2016.