Monday, January 11, 2016, 2:30pm to 3:30pm, room F107, INRIA Montbonnot Seminar by Yan Yan, University of Trento, Italy Multiple Tasks are Better than One: Multi-task Learning for Head Pose Estimation, Activity Recognition and Event Detection Machine Learning (ML) and Computer Vision (CV) have been put together during the development of computer vision in the …
Category: Seminars
Nov 18
Multimodal head and body pose estimation, by Xavier Alameda-Pineda
Monday, November 23, 2015, 2:00pm to 3:00pm, room F107, INRIA Montbonnot Seminar by Xavier Alameda-Pineda, University of Trento, Italy Detecting social attention attractors in free-standing conversational groups through multimodal head and body pose estimation Abstract: During natural social gatherings, humans tend to organize themselves in the so-called free-standing conversational groups (FCGs). Studying FCGs in unstructured social settings …
Mar 20
Acoustic Tracking of Moving Speakers, by Christine Evers
Monday, March 23, 2015, 3:00pm to 4:00pm, room C207, INRIA Montbonnot Seminar by Christine Evers, Imperial College, London Localisation and bearing-only acoustic tracking of moving speakers for robot audition Abstract. Robot audition for Human-Robot Interaction (HRI) is a complex and largely unsolved problem. Audition is particularly useful for HRI applications in situations where …
Feb 06
Deep Neural Networks and Speech Recognition, by Romain Sérizel
Thursday, February 12, 2015, 14:00 pm to 15:00 pm, room F107, INRIA Montbonnot Seminar by Romain Sérizel, Télécom ParisTech A brief introduction to deep neural networks and their application to automatic speech recognition Abstract. During the past decade, with advances in terms of training algorithms and computing power the deep neural networks (DNN) …
Oct 08
Model-Based Clustering Using Color and Depth Information, by Olivier Alata
Tuesday, October 14, 2014, 11:00 am to 12:00 am, room F107, INRIA Montbonnot Seminar by Olivier Alata, Université Jean Monnet, Saint-Etienne Abstract. Access to the 3D images at a reasonable frame rate is widespread now, thanks to the recent advances in low cost depth sensors as well as the efficient methods to compute 3D …
Feb 28
Recent Advances in Human-centric Video Understanding, by Manuel-Jesus Marin-Jimenez
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. Firstly, we will approach a …
Jan 07
Complex scene perception: contextual estimation of dynamic interacting variables, by Sileye Ba
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 with models integrating multimodal observations …
Nov 05
Acoustic Space Mapping: A Machine Learning Approach to Sound Source Separation and Localization, by Antoine Deleforge
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 referred as acoustic space mapping, …
Nov 03
Modelling via Mixtures of Skew Distributions, by Geoff McLachlan
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 as a promising extension to …
Nov 01
Visual Uncertainty: A Bayesian Approach, by Simon Barthelmé
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 in our visual perception: we …
