Seminar by Matthieu Zimmer, UM-SJTU Monday, February 8th, 11:00 – 12:00 INRIA Montbonnot Saint-Martin Abstract: In reinforcement learning, we aim at designing agents that take sequential decisions in unknown environments by learning through their own interaction with such environments. However, learning from scratch is often costly in terms of data to collect, transfer learning can help …
Category: Seminars
Jan 25
Seminar: Complex-valued and hybrid models for audio processing
Seminar by Paul Magron, IRIT Tuesday, February 2nd, 16:00 – 17:00 INRIA Montbonnot Saint-Martin Abstract: In this talk, I will give an overview of my work, which main application is sound source separation, the task of automatically extracting constitutive components from their observed mixture in an audio recording. I will address it in the time-frequency domain, …
Nov 13
Seminar: 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 …
Oct 07
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 …
Jun 15
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, …
May 17
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 …
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 …
Jan 31
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 …
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 …
Dec 04
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 …
