• Workshop at ACM MM’2017: Multimodal Understa… April 4th, 2017 Workshop at ACM MM'2017: Multimodal Understanding of Social, Affective and Subjective Attributes Xavier Alameda-Pineda, Miriam Redi, Mohammad Soleymani, Nicu Sebe, Shih-Fu Chang and Samuel D. Gosling Traditionally, the recognition of tangible properties of data, such as objects and scenes, have overwhelmingly covered the spectra of applications in multimedia, computer vision and signal processing. In the recent past and partly fostered by social media, the understanding of social, affective and subjective attributes of ...
  • Area Chair @ ICCV’17 January 23rd, 2017 Area Chair @ ICCV'17I am appointed to serve as Area Chair for the International Conference on Computer Vision 2017. ICCV will take place in Venice (Italy) in October 22nd-29th, 2017. It is my pleasure to serve the community, it has always been, and I am extremely enthusiastic and motivated to do my best helping select the highest quality ...
  • The Integrated-Cascaded Gaussian Mixture Regressor… January 21st, 2017 The Integrated-Cascaded Gaussian Mixture Regressor @ TASLP and LVA-ICA'2017 Laurent Girin, Thomas Hueber and Xavier Alameda-Pineda . Abstract: This article addresses the adaptation of an acoustic-articulatory inversion model of a reference speaker to the voice of another source speaker, using a limited amount of audio-only data. ...
  • Beyond semantics: multi-modal understand of subjec… December 22nd, 2016 Beyond semantics: multi-modal understand of subjective properties, a special session @ ICMR'17We are pleased to announce a special session at ACM ICMR’17 with the title: Beyond semantics: multi-modal understanding of subjective properties This Special Session aims to gather high-quality contributions on the latest systems and applications of multimedia analysis for subjective property (SP) understanding, detection and retrieval. In a nutshell, the focus of the special session is on ...
  • ICASSP’17 paper on sound source joint separa… December 19th, 2016 ICASSP'17 paper on sound source joint separation and diarization Dionyssos Kounades-Bastian, Laurent Girin, Xavier Alameda-Pineda, Sharon Gannot and Radu Horaud . Abstract: We present a statistical model for joint source separation and diarization of multichannel convolutive speech mixtures. We build ...
  • Best Scientific Paper Award at IAPR ICPR’16 December 15th, 2016 Best Scientific Paper Award at IAPR ICPR'16 Dan Xu, Jingkuan Song, Xavier Alameda-Pineda, Elisa Ricci and Nicu Sebe I happily announce that we received the Best Scientific Paper Award for Multi-paced dictionary learning for cross-domain retrieval and recognition at IAPR International Conference on Pattern Recognition 2016 (Cancun, Mexico) . Abstract Several applications benefit from learning coupled representations able to describe data from ...
  • BMVC’16 paper: Projective Unsupervised Flexi… September 2nd, 2016 BMVC'16 paper: Projective Unsupervised Flexible Embedding with Optimal Graph Wei Wang, Yan Yan, Feiping Nie, Xavier Alameda-Pineda, Shuicheng Yan and Nicu Sebe . Abstract: Graph based dimensionality reduction techniques have been successfully applied to clustering and classification tasks. The fundamental basis of these algorithms is the constructed graph ...
  • Multi-person tracking with variational Bayes model… August 23rd, 2016 Multi-person tracking with variational Bayes models Silèye Ba, Xavier Alameda-Pineda, Alessio Xompero and Radu Horaud Abstract: Object tracking is an ubiquitous problem that appears in many applications such as remote sensing, audio processing, computer vision, ...
  • ICPR’16 tutorial on multimodal human behavio… August 9th, 2016 ICPR'16 tutorial on multimodal human behavior analysis in the wildWe will be giving a tutorial at ICPR’2016 on “Multimodal Human Behaviour Analysis in the Wild:Recent Advances and Open Problems” together with Elisa Ricci and Nicu Sebe. Abstract: The automated analysis of human behavior in unstructured scenarios has many potential applications in health care, conflict and people management, sociology, marketing and surveillance. It is therefore unsurprising ...
  • ACMMM’16 Tutorial on learning from noisy and… July 29th, 2016 ACMMM'16 Tutorial on learning from noisy and missing dataWe will be giving a tutorial at ACM Multimedia’2016: Emerging topics in learning from noisy and missing data. The tutorial will be given on October the 16th in collaboration with  Dr. Timothy Hospedales, Prof. Elisa Ricci, Prof. Xiaogang Wang and Prof. Nicu Sebe. The abstract reads below. While vital for handling most computer vision problems, collecting ...