Category: Seminars

Using cognitive science for artificial intelligence

Seminar  by Chris Reinke, Inria Bordeaux Tuesday, December 10th 2019, 11:00 – 12:00, room F107 INRIA Montbonnot Saint-Martin   Abstract: Humans show impressive learning capabilities, allowing us to adapt efficiently to new and diverse tasks. In artificial intelligence we want artificial systems such as robots to have similar learning abilities. In this talk, I want to …

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Deformations in Deep Models for Image and Video Generation

Seminar  by Stéphane Lathuilière, Télécom Paris Friday, 18 October 2019, 14:30 – 15:30, room F107 INRIA Montbonnot Saint-Martin   Abstract: Generating realistic images and videos has countless applications in different areas, ranging from photography technologies to e-commerce business. Recently, deep generative approaches have emerged as effective techniques for generation tasks. In this talk, we will first present …

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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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Deep Regression Models and Computer Vision Applications for Multiperson Human-Robot Interaction

PhD defense by Stéphane Lathuilière Tuesday 22nd May 2018, 11:00, Grand Amphithéatre INRIA Grenoble Rhône-Alpes, Montbonnot Saint-Martin Abstract: In order to interact with humans, robots need to perform basic perception tasks such as face detection, human pose estimation or speech recognition. However, in order have a natural interaction with humans, the robot needs to model …

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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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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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