IEEE-TMM Outstanding AE Award
Xavier Alameda-Pineda was awarded with the IEEE Transactions on Multimedia Outstanding Associate Editor Award 2022.
Category: News
ACM-TOMM (Nicolas D. Georganas) 2020 Best Paper Award
Xavier Alameda-Pineda and his collaborators from the University of Trento received the 2020 Nicolas D. Georganas Best Paper Award, that recognizes the most significant work in ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM) in a given calendar year: Increasing image memorability with neural style transfer, vol. 15 Issue 2,…
Paper published in IEEE Transactions on PAMI
The paper Variotional Bayesian Inference for Audio-Visual Tracking of Multiple Speakers has been published in the IEEE Transactions on Pattern Analysis and Machine Intelligence (journal with one of the highest impact score in the category computational intelligence). This work is part of the Ph.D. thesis of Yutong Ban, now with…
H2020 Project SPRING awarded!
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….
Book co-edited by Xavier Alameda-Pineda
New book published by Academic Press (Elsevier), entitled “Multimodal Behavior Analysis in the Wild”, edited by Xavier Alameda Pineda, Elisa Ricci and Nicu Sebe. The book gathers 20 chapters written by 75 researchers from all over the world.
ACM SIGMM Rising Star Award 2018
The 2018 winner of the prestigious ACM Special Interest Group on Multimedia (SIGMM) Rising Star Award is our colleague Dr. Xavier Alameda-Pineda. The award is given in recognition of his contribution to multimodal social behavior understanding. Congratulations Xavi!
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…
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,…
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…
Plane Extraction from Depth-Data
The following journal paper has just been published: Richard Marriott, Alexander Pashevich, and Radu Horaud. Plane Extraction from Depth Data Using a Gaussian Mixture Regression Model. Pattern Recognition Letters. vol. 110, pages 44-50, 2018. The paper is free for download from our publication page or directly from Elsevier.
ACM-TOMM (Nicolas D. Georganas) 2020 Best Paper Award
Xavier Alameda-Pineda and his collaborators from the University of Trento received the 2020 Nicolas D. Georganas Best Paper Award, that recognizes the most significant work in ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM) in a given calendar year: Increasing image memorability with neural style transfer, vol. 15 Issue 2,…
Paper published in IEEE Transactions on PAMI
The paper Variotional Bayesian Inference for Audio-Visual Tracking of Multiple Speakers has been published in the IEEE Transactions on Pattern Analysis and Machine Intelligence (journal with one of the highest impact score in the category computational intelligence). This work is part of the Ph.D. thesis of Yutong Ban, now with…
H2020 Project SPRING awarded!
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….
Book co-edited by Xavier Alameda-Pineda
New book published by Academic Press (Elsevier), entitled “Multimodal Behavior Analysis in the Wild”, edited by Xavier Alameda Pineda, Elisa Ricci and Nicu Sebe. The book gathers 20 chapters written by 75 researchers from all over the world.
ACM SIGMM Rising Star Award 2018
The 2018 winner of the prestigious ACM Special Interest Group on Multimedia (SIGMM) Rising Star Award is our colleague Dr. Xavier Alameda-Pineda. The award is given in recognition of his contribution to multimodal social behavior understanding. Congratulations Xavi!
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…
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,…
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…
Plane Extraction from Depth-Data
The following journal paper has just been published: Richard Marriott, Alexander Pashevich, and Radu Horaud. Plane Extraction from Depth Data Using a Gaussian Mixture Regression Model. Pattern Recognition Letters. vol. 110, pages 44-50, 2018. The paper is free for download from our publication page or directly from Elsevier.
