Category: Awards

Israel D Gebru received the ICLR’21 outstanding paper award!

Israel D Gebru, former PhD student in the Perception group (2014-2018), and his co-authors, Alexander Richard, Dejan Markovic, Steven Krenn, Gladstone Alexander Butler, Fernando Torre, and Yaser Sheikh, received the outstanding paper award at the International Conference on Learning Representation (ICLR’21) for their paper “Neural Synthesis of Binaural Speech from Mono Audio.” During his PhD, …

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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, January 2019 by A. Siarohin, …

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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. In more detail: The scientific objective of …

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Xavier Alameda-Pineda appointed IEEE Senior Member

Xavier Alameda-Pineda has become an IEEE Senior Member on  February 1st,  2019. 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.

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!

IEEE/RSJ IROS’17: Novel Technology Paper Award Finalist!

Yutong Ban (PhD student) and his co-authors, Xavier Alameda-Pineda, Fabien Badeig, and Radu Horaud, were among the five finalists of the “Novel Technology Paper Award for Amusement Culture” at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, September 2017, for their paper Tracking a Varying Number of People with a Visually-Controlled …

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ERC Proof of Concept (PoC) Grant Awarded to Radu Horaud

As an ERC Advanced Grant holder, Radu Horaud was awarded a Proof of Concept grant for his project Vision and Hearing in Action Laboratory (VHIALab). The project develops software packages enabling companion robots to robustly interact with multiple users.

IEEE HSCMA’17: Best Paper Award!

Israel Dejene Gebru (PhD student) and his co-authors, Christine Evers, Patrick Naylor (both from Imperial College London) and Radu Horaud, received the best paper award at the IEEE Fifth Joint Workshop on Hands-free Speech Communication and Microphone Arrays, San Francisco, USA, 1-3 March 2017, for their paper Audio-visual Tracking by Density Approximation in a Sequential …

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IEEE ICPR’16: Best Scientific Paper Award!

Xavier Alameda-Pineda and his co-authors from the University of Trento received the Intel best scientific paper award (INTEL BSPA), track image, speech, signal, and video processing, at the 23rd IEEE International Conference on Pattern Recognition (ICPR’16), Cancun, Mexico, 4-8 December 2016, for their paper Multi-Paced Dictionary Learning for Cross-Domain Retrieval and Recognition. IEEE ICPR is …

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2016 Award for Outstanding Contributions in Neural Systems!

Antoine Deleforge (former team member, now with the PANAMA team, INRIA Bretagne-Atlantique), Florence Forbes (MISTIS team) and Radu Horaud received the 2016 Hojjat Adeli Award for Outstanding Contributions in Neural Systems for their paper: A. Deleforge, F. Forbes,  and R. Horaud (2015), “Acoustic Space Learning for Sound-source Separation and Localization on Binaural Manifolds,” International Journal of Neural …

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