Israel Dejene Gebru



[2013-2016] PhD


Part of Israel‘s PhD is devoted to the detection and localization of speakers using audio-visual data. We proposed different methods that were published in different venues [1, 2].  He will most likely defend end 2016/beginning 2017.

References

  1. I. Gebru, X. Alameda-Pineda, R. Horaud, and F. Forbes, “Audio-Visual Speaker Localization via Weighted Clustering,” in IEEE Workshop on Machine Learning for Signal Processing, Reims, France, 2014, pp. 1-6. [ bib pdf ]
    @inproceedings{Gebru-MLSP-2014,
        title = {{Audio-Visual Speaker Localization via Weighted Clustering}},
        author = {Gebru, Israel-Dejene and Alameda-Pineda, Xavier and Horaud, Radu and Forbes, Florence},
        booktitle = {{IEEE Workshop on Machine Learning for Signal Processing}},
        year = {2014},
        pages = {1--6},
        address = {Reims, France},
      pdf={http://xavirema.eu/wp-content/papercite-data/pdf/Gebru-MLSP-2014.pdf}
    }
  2. I. Gebru, X. Alameda-Pineda, F. Forbes, and R. Horaud, “EM algorithms for weighted-data clustering with application to audio-visual scene analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, iss. 12, pp. 2402-2415, 2016. [ bib pdf code data arxiv ]
    @article{Gebru-TPAMI-2016,
       title = {{EM} algorithms for weighted-data clustering with application to audio-visual scene analysis},
       author = {Israel-Dejene Gebru and Xavier Alameda-Pineda and Florence Forbes and Radu Horaud},
       journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
       year={2016},
       volume={38},
       number={12},
       pages={2402-2415},
       url = {http://arxiv.org/abs/1509.01509},
       arxiv = {http://arxiv.org/abs/1509.01509},
       doi={10.1109/TPAMI.2016.2522425},
       soft={http://perception.inrialpes.fr/people/Gebru/code/WD-EM.zip},
       data={https://team.inria.fr/perception/avtrack1/},
      pdf={http://xavirema.eu/wp-content/papercite-data/pdf/Gebru-TPAMI-2016.pdf}
    }

Category: Current | Students

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