Category: News

Apr 09

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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Mar 31

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.

Mar 29

Software engineer / Audio-visual perception for robotics

Context Perception team (, at INRIA Grenoble Rhône-Alpes and Jean Kuntzman Laboratory at Grenoble Alpes University, works on computational models for mapping images and sounds onto meaning and actions. The team members address these challenging topics: computer vision, auditory signal processing and scene analysis, machine learning, and robotics. In particular, we develop methods for the …

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Dec 04

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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Sep 29

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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May 19

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.

Apr 06

IEEE HSCMA’17: Best Paper Award!

Israel Dejene Gebru (PhD student) and his co-authors, Christine Evers, Patrick Naylor (both from Imperial College London) and Radu Horaud, received the best paper award at the IEEE Fifth Joint Workshop on Hands-free Speech Communication and Microphone Arrays, San Francisco, USA, 1-3 March 2017, for their paper Audio-visual Tracking by Density Approximation in a Sequential …

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Jan 26

Audio-visual diarization dataset now available for download

We just made public our novel AVDIAR dataset. AVDIAR stands for “audio-visual diarization”. The dataset contains recordings of social gatherings done with two cameras and six microphones. Both the audio and visual data were carefully annotated, such that it is possible to evaluate the performance of various algorithms, such as person tracking, speech-source localization, speaker …

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Dec 15

IEEE ICPR’16: Best Scientific Paper Award!

Xavier Alameda-Pineda and his co-authors from the University of Trento received the Intel best scientific paper award (INTEL BSPA), track image, speech, signal, and video processing, at the 23rd IEEE International Conference on Pattern Recognition (ICPR’16), Cancun, Mexico, 4-8 December 2016, for their paper Multi-Paced Dictionary Learning for Cross-Domain Retrieval and Recognition. IEEE ICPR is …

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Jun 21

Welcome to New Permanent Member

The PERCEPTION team is pleased to announce that Xavier Alameda-PIneda has just been recruited as chargé de recherche at INRIA. Xavi will join the team next Fall. Currently, Xavi is a postdoc researcher at the University of Trento in the Multimedia and Human Understanding Group. Xavi’s webpage.