Short Descrption The PERCEPTION team investigates the computational principles underlying human-robot interaction. Under this broad topic, this master project will investigate the use of computer vision and audio signal processing methods enabling a robot to localize events that are both seen and heard, such as a group of people engaged in a…
July 16th, 2014: All the positions were provided, the call for applicants is closed. The PERCEPTION group is seeking for PhD students to develop advanced methods for activity recognition and human-robot interaction based on joint visual and auditory processing. We are particularly interested in students with strong background in computer vision,…
Antoine Deleforge, Master and Ph.D student in the PERCEPTION team (2009-2013) received the 2014 “Signal, Image, Vision” best PhD thesis award for his thesis entitled “Acoustic Space Mapping: A Machine Learning Approach to Sound Source Separation and Localization”. For more information about Antoine’s work, please click here. Since January 2014 Antoine…
Thursday, March 20, 2014, 2:30 to 3:30 pm, room F107, INRIA Montbonnot Seminar by Manuel-Jesus Marin-Jimenez, University of Cordoba, Spain In this seminar I will present recent advances in the field of visual content analysis focused on people. In particular, we are interested in understanding videos containing people-to-people interaction….
Monday, January 13, 2014, 2:00 to 3:00 pm, room F107, INRIA Montbonnot Seminar by Sileye Ba, RN3D Innovation Lab, Marseille During these last years researchers have conducted research about complex scene perception. Studying the perception scenes require modelling multiple interacting variables. Computer vision and machine learning have led to significant advances…
A Horizon Magazine article about “Integrating Smart Robots into Society” refers to the recently terminated EU HUMAVIPS project (2010-2013), coordinated by the PERCEPTION team. The article stresses the role of cognition in human-robot interaction and refers to HUMAVIPS as one of the FP7 projects that has paved the way towards…
The RAVEL dataset (Robots with Auditory and Visual Abilities) contains typical scenarios useful in the development and benchmark of robot-human interaction (HRI) systems. The RAVEL dataset is freely accessible for research purposes and for non-commercial applications. The dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. RAVEL website for download: http://perception.inrialpes.fr/datasets/Ravel/…
Tuesday, November 26, 2013, 10:00 to 10:45, Grand Amphi, INRIA Montbonnot PhD public defense by Antoine Deleforge, Perception Team, INRIA Montbonnot Abstract: In this thesis, we address the long-studied problem of binaural (two microphones) sound source separation and localization through supervised learning. To achieve this, we develop a new paradigm…
Tuesday, November 26, 2013, 14:30 to 15:30, Grand Amphithéatre, INRIA Montbonnot Seminar by Geoff McLachlan, Department of Mathematics, University of Queensland, Australia Abstract. Non-normal mixture distributions have received increasing attention in recent years. Finite mixtures of multivariate skew symmetric distributions, in particular, the skew normal and skew $t$-mixture models, are emerging…
Wednesday, November 13, 2013, 14:00 to 15:00, room F107, INRIA Montbonnot Seminar by Simon Barthelmé, Université de Genève Abstract. Visual processing is fraught with uncertainty: the brain’s visual system must attempt to estimate physical properties despite missing information and noisy mechanisms. Sometimes high visual uncertainty translates into lack of confidence…
