Radu HORAUD

Author's posts

Sparse representation, dictionary learning, and deep neural networks: their connections and new algorithms

Seminar  by Mostafa Sadeghi, Sharif University of Technology, Tehran Tuesday 19 June 2018, 14:30 – 15:30, room F107 INRIA Montbonnot Saint-Martin Abstract. Over the last decade, sparse representation, dictionary learning, and deep artificial neural networks have dramatically impacted on the signal processing and machine learning areas by yielding state-of-the-art results in a variety of tasks, …

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Audio-Visual Analysis in the Framework of Humans Interacting with Robots

PhD defense by Israel D. Gebru Friday 13 April 2018, 9:30 – 10:30, Grand Amphithéatre INRIA Grenoble Rhône-Alpes, Montbonnot Saint-Martin In recent years, there has been a growing interest in human-robot interaction (HRI), with the aim to enable robots to naturally interact and communicate with humans. Natural interaction implies that robots not only need to …

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Plane Extraction from Depth-Data

The following journal paper has just been published: Richard Marriott, Alexander Pashevich, and Radu Horaud. Plane Extraction from Depth Data Using a Gaussian Mixture Regression Model. Pattern Recognition Letters. vol. 110, pages 44-50, 2018. The paper is free for download from our publication page or directly from Elsevier.

Biosignal-based speech processing for communication rehabilitation

Seminar  by Thomas Hueber, CNRS, GIPSA-lab, Grenoble Thursday 8 February, 10:00 – 11:00, room F107 INRIA Montbonnot Saint-Martin Abstract. Propelled by the progress of machine learning, speech technologies such as automatic speech recognition and text-to-speech synthesis have become enough advanced to be deployed in several consumer products and used in our daily lives. However, using …

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A Bayesian Framework for Head Pose Estimation and Tracking

PhD defense by Vincent Drouard Monday 18 December 2017, 11:00 – 12:00, Grand Amphithéatre INRIA Montbonnot Saint-Martin In this thesis, we address the well-known problem of head-pose estimation in the context of human-robot interaction (HRI). We accomplish this task in a two step approach. First, we focus on the estimation of the head pose from …

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Towards automatic learning of gait signatures for people identification in video

Seminar by Manuel J. Marin-Jimenez, Universidad de Córdoba Tuesday 19 December 2017, 11:00 – 12:00, room F107 INRIA Montbonnot Saint-Martin Abstract: This talk targets people identification in video based on the way they walk (i.e. gait). While classical methods typically derive gait signatures from sequences of binary silhouettes, in this talk we present the use …

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Audio-Visual Analysis for Human-Robot Interaction

Data Science Seminar Series, 12 Octobrer 2017 Radu Horaud Abstract: Robots have gradually moved from factory floors to populated spaces. Therefore, there is a crucial need to endow robots with communicative skills. One of the prerequisites of human-robot communication (or more generally, interaction) is the ability of robots to perceive their environment, to detect people, …

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Reinforcement approaches for online learning of virtual vocal conversational agents

Seminar by Fabrice Lefèvre, Université d’Avignon Room C207 9:30 – 11:00   Abstract: Stochastic techniques, supervised or not, or by reinforcement, are now largely spread on every modules intervening in academic systems of human-machine dialog. Current researches strive to improve even further their quality to reach satisfying and acceptable global performance. A major default remains …

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IEEE/RSJ IROS’17: Novel Technology Paper Award Finalist!

Yutong Ban (PhD student) and his co-authors, Xavier Alameda-Pineda, Fabien Badeig, and Radu Horaud, were among the five finalists of the “Novel Technology Paper Award for Amusement Culture” at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, September 2017, for their paper Tracking a Varying Number of People with a Visually-Controlled …

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ERC Proof of Concept (PoC) Grant Awarded to Radu Horaud

As an ERC Advanced Grant holder, Radu Horaud was awarded a Proof of Concept grant for his project Vision and Hearing in Action Laboratory (VHIALab). The project will develop software packages enabling companion robots to robustly interact with multiple users.