Seminars – RobotLearn

Learnable Geometric Reconstruction and UV Parameterization for Digitizing Humans in Loose Garments

Radu HORAUD 2022/09/30 2022/10/04Seminars

Avinash Sharma, IIIT-Hyderabad, India Friday, 7 October 2022, 15:00-16:00, room 106, Laboratoire Jean Kuntzman, 700 avenue Centrale, Saint-Martin d’Hères Webex link : https://inria.webex.com/inria/j.php?MTID=m1c3e564d9357c0f8e26f899f631464db Abstract: This talk primarily aims at providing an overview of our research contribution towards devising learnable paradigms for 3D digitization of human body in loose garments. In the…

Seminar: LAEO-Net++: Revisiting People Looking at Each Other in Videos

Radu HORAUD 2022/06/24 2022/06/24Seminars

Manuel J. Marin-Jimenez, University of Cordoba, Spain Thursday, 7 July 2022, 14:00-15:00, room F107, Inria Montbonnot Saint-Martin Attend online: https://inria.webex.com/inria/j.php?MTID=mb256349fcf231701cb7e004536b4f398 Abstract: Capturing the ‘mutual gaze’ of people is essential for understanding and interpreting the social interactions between them. To this end, this paper addresses the problem of detecting people Looking At Each…

Seminar: Machine Learning for Indoor Acoustics

Radu HORAUD 2022/06/10 2022/06/13Seminars

Antoine Deleforge, Multispeech team, Inria Nancy Grand-Est Wednesday, 15 June 2022, 15:30, room F107, Inria Montbonnot Saint-Martin Attend online: https://inria.webex.com/inria/j.php?MTID=m30df5cc25af1cc7f052683154f4f7638 Abstract: Close your eyes, clap your hands. Can you hear the shape of the room? Is there carpet on the floor? Answering these peculiar questions may have applications in acoustic diagnosis,…

Seminar: Transfer Learning, Data Efficiency and Fairness in Deep Reinforcement Learning

Xavier ALAMEDA-PINEDA 2021/02/03 2021/02/03Seminars

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…

Seminar: Complex-valued and hybrid models for audio processing

Xavier ALAMEDA-PINEDA 2021/01/25 2021/01/25Seminars

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…

Seminar: Using cognitive science for artificial intelligence

Xavier ALAMEDA-PINEDA 2019/11/13 2021/02/03Seminars

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…

Deformations in Deep Models for Image and Video Generation

Radu HORAUD 2019/10/07 2019/10/09Seminars

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…

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

Radu HORAUD 2018/06/15 2018/06/15News, Seminars

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…

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

Stephane LATHUILIERE 2018/05/17 2021/08/04News, Seminars, Uncategorized

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,…

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

Radu HORAUD 2018/04/09 2018/04/09News, Seminars, Uncategorized

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…