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Israel Dejene Gebru

Israel Dejene GebruSince April 2018 I’m a postdoctoral research scientist with Facebook Reality Lab, Pittsburgh, USA. From 2014 to 2018 I was a Ph.D. student within the PERCEPTION team at INRIA Grenoble, advised by Dr. Radu Horaud. I defended my PhD in April 2018. My research interests are in audio signal processing, computer vision and machine learning. I am particularly interested in joint processing of audio and visual data for human-robot interaction. In 2017 I did a six-month research internship at Oculus (Facebook) Research in Pittsburgh. Before starting my Ph.D., I received a B.S. in Computer Engineering from Addis Ababa University in 2008, and a M.S. in Telecommunication Engineering from University of Trento in 2013. I also worked as an engineer at ZTE cooperation from 2009-2011. I 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 my paper Audio-visual Tracking by Density Approximation in a Sequential Bayesian Filtering Framework.

Software: GitHub

Datasets that I created:  AVTRACK and AVDIAR

Google Scholar Page

Publications on HAL


Audio-Visual Analysis In the Framework of Humans Interacting with Robots, Université Grenoble Alpes, 13 April 2013.

Journal Articles

Gebru, I. D., Silèye Ba, Xiaofei L. & Horaud, R., Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion,  IEEE Transactions on Pattern Analysis and Machine Intelligence,  2018, volume 40, number 5, pages 1086 – 1099. Research Page

Gebru, I. D., Alameda-Pineda, X., Forbes, F., & Horaud, R., EM Algorithms for Weighted-Data Clustering with Applications to Audio-Visual Scene Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, volume 38, number 12, pages 2402 – 2415. Research Page

Conference Papers

Gebru, I.D., Evers, C., Naylor, P.A., & Horaud, R., “Audio-Visual Tracking by Density Approximation in Sequential Bayesian Filtering Framework” in IEEE HSCMA 2017. Best Paper Award Research Page

Gebru, I.D., Ba, S., Evangelidis, G. and Horaud, R., “Tracking the Active Speaker Based on a Joint Audio-Visual Observation Model,” in IEEE ICCV Workshops 2015. Research Page

F. Badeig, Q. Pelorson, S. Arias, V. Drouard, I. D. Gebru, X. Li, G. Evangelidis, R. Horaud, “A Distributed Architecture for Interacting with NAO”, in ACM ICMI 2015 . Research Page

Gebru, I. D., Ba, S., Evangelidis, G., & Horaud, R., “Audio-Visual Speech-Turn Detection and Tracking,” in LVA/ICA 2015. Research Page

Gebru, I. D., Alameda-Pineda, X., Horaud, R., & Forbes, F., “Audio-visual speaker localization via weighted clustering,” in IEEE MLSP 2014 . Research Page

Dang-Nguyen, D.T., Gebru, I.D., Conotter, V., Boato, G. and De Natale, F.G., “Counter-forensics of median filtering,” in IEEE MMSP 2013.