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Oswald Lanz

Oswald Lanz
Permanent researcher
  • Phone: 0461314511
  • FBK Povo
Short bio

I received the MSc in Mathematics ('00) and a Ph.D in Computer Science ('05) from the University of Trento, and the Habilitation to Full Professor (in Italy, ASN16 09/H1).

I am a Researcher at the Fondazione Bruno Kessler, Trento, Italy since 2005, tenured since 2008. My research has been mainly in the field of people tracking, audio-visual tracking, pose estimation and group detection with application to monitoring and behavior analysis. From 2012 to end of 2015 I have been Head of Computer Vision Research Unit Technologies of Vision at the Fondazione Bruno Kessler. In 2016 I have been launching an innovation project in a home automation SME. 

My main research interests are currently in deep learning with structured output prediction applied to video classification and tracking. I hold a number of international patents on video tracking.

Publications
  1. Qian, Xinyuan; Brutti, Alessio; Lanz, Oswald; Omologo, Maurizio; Cavallaro, Andrea,
    Multi-speaker tracking from an audio-visual sensing device,
    in «IEEE TRANSACTIONS ON MULTIMEDIA»,
    2019
  2. Lanz, Oswald; Brutti, Alessio; Xompero, Alessio; Qian, Xinyuan; Omologo, Maurizio; Cavallaro, Andrea,
    ACCURATE TARGET ANNOTATION IN 3D FROM MULTIMODAL STREAMS,
    Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
    2019
    , (IEEE International Conference on Acoustics, Speech, and Signal Processing,
    Brighton, UK,
    12 - 17 May, 2019)
  3. Sudhakaran, Swathikiran; Escalera, Sergio; Lanz, Oswald,
    LSTA: Long Short-Term Attention for Egocentric Action Recognition,
    Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR),
    2019
    , (IEEE Computer Society Conference on Computer Vision and Pattern Recognition,
    Long Beach, CA,
    16 - 20 June, 2019)
  4. Sudhakaran, Swathikiran; Lanz, Oswald,
    An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective,
    CVPR19 Workshop - Mutual benefits of cognitive and computer vision,
    2019
    , (CVPR19 Workshop - Mutual benefits of cognitive and computer vision,
    Long Beach, CA,
    16 June, 2019)
  5. Varadarajan, Jagannadan; Subramanian, Ramanathan; Rota Bulò, Samuel; Ahuja, Narendra; Lanz, Oswald; Ricci, Elisa,
    Joint Estimation of Human Pose and Conversational Groups from Social Scenes,
    in «INTERNATIONAL JOURNAL OF COMPUTER VISION»,
    vol. 126,
    n. 2-4,
    2018
    , pp. 410 -
    429
  6. Qian, Xinyuan; Xompero, Alessio; Brutti, Alessio; Lanz, Oswald; Omologo, Maurizio; Cavallaro, Andrea,
    3D mouth tracking from a compact microphone array co-located with a camera,
    Proc. 2018 International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    2018
    , pp. 3071-
    3075
    , (International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Calgary (Canada),
    April, 15-20)
  7. Xompero, Alessio; Lanz, Oswald; Cavallaro, Andrea,
    Multi-camera Matching of Spatio-Temporal Binary Features,
    Proceedings of 2018 21st International Conference on Information Fusion (FUSION),
    2018
    , (21st International Conference on Information Fusion (FUSION),
    University of Cambridge, UK,
    July 10-13, 2018)
  8. Xompero, Alessio; Lanz, Oswald; Cavallaro, Andrea,
    MORB: A Multi-Scale Binary Descriptor,
    Proceedings of the IEEE International Conference on Image Processing (ICIP),
    2018
    , (IEEE International Conference on Image Processing,
    Athens, Greece,
    October 7-10, 2018)
  9. Sudhakaran, Swathikiran; Lanz, Oswald,
    Attention is All We Need: Nailing Down Object-centric Attention for Egocentric Activity Recognition,
    Proceedings of the British Machine Vision Conference (BMVC),
    2018
    , (British Machine Vision Conference,
    Newcastle, UK,
    September 3-6, 2018)
  10. Lakhal, Mohamed Iles; Clapes, Albert; Escalera, Sergio; Lanz, Oswald; Cavallaro, Andrea,
    Residual Stacked RNNs for Action Recognition,
    Proceedings of the European Conference on Computer Vision ECCV 2018: Computer Vision – ECCV 2018 Workshops,
    2018
    , pp. 534-
    548
    , (9th International Workshop on Human Behavior Understanding (HBU@ECCV18),
    Munich, Germany,
    September 9, 2018)

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