[co-Chair] Dr. Xavier Alameda-Pineda is a Research Scientist at Inria, in the Perception Group. He obtained the M.Sc. (equivalent) in Mathematics in 2008, in Telecommunications in 2009 from BarcelonaTech and in Computer Science in 2010 from Université Grenoble-Alpes (UGA). He the worked towards his Ph.D. in Mathematics and Computer Science, and obtained it 2013, from UGA. After a two-year post-doc period at the Multimodal Human Understanding Group, at University of Trento, he was appointed with his current position. Xavier is an active member of SIGMM, and a senior member of IEEE. Xavier is the Coordinator of the H2020 Project SPRING: Socially Pertinent Robots in Gerontological Healthcare. Xavier’s research interests are in combining machine learning, computer vision and audio processing for scene and behavior analysis and human-robot interaction.
[co-Chair] Dr. Radu Patrice Horaud (PhD’81) holds a position of director of research at INRIA Grenoble Rhône-Alpes, France, since 1998. Previous to that, he was a post-doctoral fellow with the Artificial Intelligence Center of SRI International, Menlo Park CA, from 1982 to 1984, and a research scientist with CNRS Grenoble, France, from 1984 to 1998. He is the founder and director of the PERCEPTION team. Radu’s research interests cover computational vision, audio signal processing, audio-visual scene analysis, machine learning, and robotics. He is the author of over 200 scientific publications. Radu pioneered work in computer vision using range data (or depth images) and developed a number of principles and methods at the cross-roads of computer vision and robotics. In 2006, he started to develop audio-visual fusion and recognition techniques in conjunction with human-robot interaction. The European Research Council awarded Radu twice: in 2013 (ERC Advanced Grant VHIA, 2014-2019) and in 2017 (ERC Proof of Concept Grant VHIALab, 2018-2019).
Dr. Florence Forbes is director of Research at Inria and head of the Statify group. She received her PhD degree in applied probability from the University Joseph Fourier, Grenoble, France. She has been a research scientist at Inria since 1998. She has been working on graphical Markov models, classification methods for spatially localized data and statistical image analysis for more than 20 years. Her publications range from 4 main domains showing a balance at the interface of Statistics and Probability, Machine Learning and Pattern recognition, Signal and Image processing and Biology and medicine. Her current interest consists mainly of model-based clustering methods, supervised (learning) or unsupervised (parameter estimation), statistical model selection and Bayesian techniques to integrate various sources of information and a priori. She had experience with different types of data from domains as diverse as genetics and genomics, computer vision, and planetary science. She has coordinated a number of national projects and participated as co-pi to two European projects. She is also the cofounder and scientific advisor of Pixyl Automatic Neuroimaging Solutions.
Dr. Jean-Charles Quinton is associate professor at LJK (University of Grenoble) since 2015, working at the interface between applied mathematics (statistical and computational modeling), psychology and neuroscience, focusing on active, dynamical and predictive components of decision and perception. He holds a PhD in artificial intelligence from the Institut de Recherche en Informatique de Toulouse (University of Toulouse, 2008), was postdoctoral fellow at the Centre for Computational Neuroscience and Robotics (University of Sussex), LORIA / Cortex (Inria Nancy-Grand Est) and ISTC-CNR (Rome), and previously was associate professor at Pascal Institute (University of Clermont Auvergne) between 2011 and 2015.
Prof. Laurent Girin received the M.Sc. (1994) and Ph.D. (1997) degrees in signal processing from Institut National Polytechnique de Grenoble (INPG), France. In 1999 he joined Ecole Nationale Supérieure d’Electronique et de Radioélectricité de Grenoble, as an Associate Professor. Currently he is a Full Professor at Physics, Electronics, and Materials Department of INPG, where he lectures signal processing theory and applications to audio. His research activity is carried out at GIPSA-Lab (Grenoble Laboratory of Image, Speech, Signal, and Automation). It deals with speech and audio processing (analysis, modeling, coding, transformation, synthesis), with a special interest in multimodal speech processing (e.g. audiovisual processing, articulatory-acoustic modeling, etc.) and speech/audio source separation. Prof. Girin is currently the Head of the Speech and Cognition Pole at GIPSA-lab (one of the four scientific departments of GIPSA-lab). He is also a regular collaborator of the Perception team at Inria Grenoble.
Dr. Mostafa Sadeghi received the B.Sc. degree from Ferdowsi University of Mashhad, Mashhad, Iran, in 2010, the M.Sc. degree from Sharif University of Technology, Tehran, Iran, in 2012, and the Ph.D. degree from the same university in 2018, all in electrical engineering. He is currently working as a postdoctoral researcher in the Perception team at Inria, Grenoble, France. His main research interests are latent variable generative models, unsupervised audio-visual speech enhancement, Bayesian inference and probabilistic machine learning, and local/global optimization.
Xiaoyu Bie is a PhD student in the Perception Group of Inria Grenoble-Alpes since December 2019, under the supervision of Prof. Laurent Girin and Prof. Xavier Alameda-Pineda. His PhD topic is “Robust audio-visual scene understanding with hybrid probabilistic & deep learning models”. He obtained B. Eng. from Huazhong University of Science and Technology, China, in 2016, Diplôme d’Ingénieur from Institut d’Optique Graduate School, France in 2018 and M.Sc. degree in Control, Signal and Image Processing from University of Paris-Saclay, France in 2018.
Anand Ballou received the M.Eng degree in computer science and applied mathematics from Grenoble INP – Ensimag, France in 2019. He is currently working as a PhD student in the Perception team at Inria, Grenoble, France, under the supervision of Dr. Radu Patrice Horaud and Dr. Xavier Alameda-Pineda. His PhD is on Learning robot actions for audio-visual human behaviour understanding and his main research interests are robotics and reinforcement learning