Xavier ALAMEDA-PINEDA

Author's posts

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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Master Internship on Audio-visual speech separation using variational auto-encoders

Topic: In this Master thesis, we address the problem of speech separation given single-channel microphone mixed speech and video frames of the involved speakers. Although there exist several audio-only speech separation methods [1], here, we aim to utilize also the visual information, that is, video frames of speakers’ lips. This would help to distinguish different …

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Master Internship on Robust Deep Regression

Topic: In this Master thesis we address the problem of how to robustly train a ConvNet for regression, or deep robust regression [1,2]. Traditionally, deep regression employs the L2 loss function [3], known to be sensitive to outliers, i.e. samples that either lie at an abnormal distance away from the majority of the training samples, …

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Researcher on Deep and Reinforcement Learning for Robotics

Starting Date: February 1st, 2020. Funding: The H2020 ICT SPRING Project Contact Point: Xavier Alameda-Pineda Duration: From 2 and up to 4 years. To apply: https://jobs.inria.fr/public/classic/fr/offres/2019-02083 General Context: SPRING – Socially Pertinent Robots in Gerontological Healthcare – is a 4-year R&D project fully funded by the European Comission under the H2020 framework. SPRING aims to develop …

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Engineer on Deep Learning and Cloud Computing

Starting Date:November 1st, 2019 – February 1st, 2020. Funding: The H2020 ICT SPRING Project Contact Point: Xavier Alameda-Pineda Duration: 2 years and up to 4 years. To apply: https://jobs.inria.fr/public/classic/fr/offres/2019-02081 General Context:  SPRING – Socially Pertinent Robots in Gerontological Healthcare – is a 4-year R&D project fully funded by the European Comission under the H2020 framework. SPRING …

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Engineer on Deep Learning and Robotics

Starting Date: November 1st, 2019 – February 1st, 2020. Duration: 2 years and up to 4 years. Funding: The H2020 ICT SPRING Project Contact Point: Xavier Alameda-Pineda To apply: https://jobs.inria.fr/public/classic/fr/offres/2019-02082 General Context: SPRING – Socially Pertinent Robots in Gerontological Healthcare – is a 4-year R&D project fully funded by the European Comission under the H2020 framework. …

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H2020 Project SPRING

The Perception team is happy to announce that a new project has been awarded by the European Union under the H2020-ICT program. The main objective of SPRING (Socially Pertinent Robots in Gerontological Healthcare) is the development of socially assistive robots with the capacity of performing multimodal multiple-person interaction and open-domain dialogue. In more detail: The scientific objective of …

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(Closed) MSc. Project on Speaker identity modeling with deep learning for re-identification

MSc. Project on Speaker identity modeling with deep learning for re-identification Short description: Speaker identification is the task that aims at determining which speaker has produced a given utterance [1]. On the other hand, speaker verification or re-identification aims at determining whether there is a match between a given speech utterance and a target speaker …

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(Closed) MSc. Project on Coupled Audio-visual Multi-speaker Tracking

MSc. Project on Coupled Audio-visual Multi-speaker Tracking Short description: Multi-speaker tracking has been widely investigated and the Perception team contributed with a consistent methodological framework based on variational Bayes techniques [1-4]. Often, audio-visual tracking methods first map all auditory and visual information in the same space, to later on run a tracking algorithm. However, in …

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(Closed) MSc. Project on Gazeable Objects

MSc project on “Gazeable Objects” Duration: about 6 months Short description: Gaze is the direction towards which a person is looking. The automatic estimation of the gaze from a single image and from videos has been a hot research topic in previous years [1-4]. Often, researchers studied gaze from a human-centered perspective, trying to answer the …

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