Postdoctoral position in Computer Vision, Machine Learning and Pattern Recognition at PAVIS

To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners. In particular, this call aims at consolidating PAVIS expertise in the video surveillance area and especially on re-identification and crowd behavior analysis.In general, the following topics are of interest:Analysis of static and dynamic scenes;Recognition (objects, scenes, actions, events, etc.) ;Behavior Analysis & Activity Recognition (individuals, groups, crowd);Prediction of intentions.From the methodological standpoint, the ideal candidate should be familiar with in one or more of the following subjects: Graphical Models, Topic Models, Bayesian Nonparametrics, Deep Learning, Representation/Feature Learning, Sparse and Dictionary Learning, and Statistical and…


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