• Elsa Marie August 28th, 2019Elsa Marie
    Elsa Marie was a Masters Student at Perception Team working on speaker identification and verification. She defended on June 2019 obtaining one of the highest scores that year. Elsa then joined KTH to finish her studies.
  • MIAI chair on Audio-visual machine perception and … August 26th, 2019MIAI chair on Audio-visual machine perception and interaction for companion robots
    The Multidisciplinary Institute of Artificial Intelligence — MIAI — has been funded!!! Indeed, MIAI was part of the proposals responding to the call from the French government for 3IA. MIAI will be located in Grenoble and structured in two main blocks: Next Stage AI and AI for Human Beings and Environment. The chair we manage with Dr. ...
  • Vadim Sushko August 22nd, 2019Vadim Sushko
    Vadim was a Master student at Perception Team working on the relation between people’s gaze and objects. Vadim defended his Masters Thesis in June 2019 and obtained an outstanding mark.
  • ICIAIP’19 Tutorial: Probabilistic and deep l… June 10th, 2019ICIAIP'19 Tutorial: Probabilistic and deep learning for regression in computer vision
    Together with Stéphane Lathuilière, we will give a tutorial at ICIAP’19 on regression for computer vision. In this course we will first describe the basics of regression, probabilistic regression and deep regression. We will present recent results of these methodologies when tackling different computer vision applications such as pose or gaze estimation. We will then ...
  • IEEE Senior Member March 6th, 2019IEEE Senior Member
    Since February 2019, I am a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). The grade of Senior Member requires experience reflecting professional maturity as an engineer, scientist, educator, technical executive, or originator in IEEE-designated fields for a total of 10 years and have demonstrated 5 years of significant performance. It’s an ...
  • Area Chair @ ACM Multimedia 2019 March 5th, 2019Area Chair @ ACM Multimedia 2019
    I am happy to announce that I am an Area Chair of ACM Multimedia 2019, on the theme “Multimodal fusion and embeddings.” Happy to contribute to the community!!! I handled around 20 papers, chased reviewers and foster discussion around bordeline papers. The TPC meeting in Amherst was very interesting and we had some nice discussion about ...
  • Area Chair @ ICIAP 2019 February 7th, 2019Area Chair @ ICIAP 2019
    I have the pleasure and honor to be Area Chair at ICIAP 2019, in the area of Multimedia. It will be a pleasure to serve the community and very enriching to get to know many research works around the globe. And of course, to be back to Trento in September. Nice discussing on the 20+ papers ...
  • Associate Editor @ ACM TOMM February 7th, 2019Associate Editor @ ACM TOMM
    From January 2019, I have the pleasure to became an Associate Editor of  the ACM Transactions on Multimedia Computing Communications and Applications. This is an interesting and enriching challenge, and I am ready to put tons of efforts to increase the quality of the journal, and the papers in it. I warmly thank Alberto Del Bimbo for ...
  • ICIP’19 Special Session on Machine Learning … November 25th, 2018ICIP'19 Special Session on Machine Learning for Affective Computing of Large-scale Visual Content
    IEEE ICIP 2019 Special Session Machine Learning for Affective Computing of Large-scale Visual Content Dr. Sicheng Zhao, University of California, Berkeley, USA | Dr. Xavier Alameda-Pineda, Inria, France | Dr. Min Xu, University of Technology Sydney, Australia | Prof. Qingming Huang, Chinese Academy of Sciences. Important Dates | Submission: January 31, 2019 | Notification: April 30, 2019 | Camera-ready: May 15, ...
  • Deep Gaussian Uniform Mixtures for Robust Regressi… September 17th, 2018Deep Gaussian Uniform Mixtures for Robust Regression
    Stéphane Lathuilière, Pablo Mesejo-Santiago, Xavier Alameda-Pineda, and Radu Horaud . This paper presents a methodological framework for robust regression combining the representation power of deep architectures with the outlier detection capabilities of probabilistic models, in particular of a Gaussian-Uniform mixture ...