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Oswald Lanz

Permanent researcher
  • Phone: 0461314511
  • FBK Povo
Short bio

I am Research Scientist at Fondazione Bruno Kessler - FBK and former head of the computer vision research Unit TeV of FBK.

My research belongs to the area of computer vision and machine learning and is centered on methods and systems for video understanding and 3d scene analysis. I have worked extensively on object tracking, audio-visual trackinghead pose estimation and group detection for behavior analysis. My current focus is on representation learning for video.

NEWS

2020.07: News featured on FBK Magazine.

2020.06: Receiving the AWS Machine Learning Research Award.

2020.06: We ranked 3rd place in the CVPR'20 EPIC Kitchens Action Recognition challenge.

2020.02: Gate-Shift Networks (GSM) accepted at CVPR'20 main program.

2020.02: We are organizing a Workshop on Image and Video Question Answering.

2019.12: GSM is state of the art in action recognition.

2019.12: Journal Paper accepted at IEEE Transactions on Image Processing.

2019.11: I gave an invited talk at ICCV'19 Egocentric Perception, Interaction and Computing workshop in Seoul, Korea.

2019.11: Let's welcome Alex, new PhD student on the topic of video question answering.

2019.07: Paper accepted at ICCV'19 main program. 

2019.07: I gave a seminar Learning to Recognize Actions in Video at Siena Artificial Intelligence Lab.

2019.06: Swathikiran defended his PhD thesis and graduated with cum laude mark.

2019.06: We ranked 3rd place in the CVPR'19 EPIC Kitchens Action Recognition challenge. Tech Report available here.

2019.06: I gave a seminar on our work on action recognition at FBK Spring of AI seminar series.

2019.04: Paper accepted at ICIP'19 main program.

2019.02: Long Short-Term Attention (LSTA) accepted at CVPR'19 main program.

2019.02: Paper accepted at ICASSP'19 main program.

2019.01: Journal Paper accepted at ACM MultiMedia.

2019.01: Journal Paper accepted at Intelligenza Artificiale special issue on selected papers of AI*IA 2018 conference.

Publications
  1. Mutlu S.; Rota Bulo' S.; Lanz O.,
    Exploiting Color Constancy for Robust Tracking Under non-Uniform Illumination,
    Proc. ICIAR'14,
    2014
    , (International Conference on Image Analysis and Recognition,
    Vilamoura, Algarve, Portugal,
    22-24 October 2014)
  2. Setti F.; Lanz O.; Ferrario R.; Murino V.; Cristani M.,
    Multi-scale f-formation discovery for group detection,
    Proc. ICIP 2013,
    2013
    , pp. 3547-
    3551
    , (International Conference on Image Processing,
    Melbourne, Australia,
    September 15-18, 2013)
  3. Mutlu S.; Hu T.; Lanz O.,
    Learning the scene illumination for color-based people tracking in dynamic environment,
    Proc. ICIAP 2013,
    2013
    , pp. 683-
    692
    , (International Conference on Image Analysis and Processing,
    Naples, Italy,
    September 11-13, 2013)
  4. Hu T.; Mutlu S.; Lanz O.,
    Multicamera People tracking using a locus-based probabilistic occupancy map,
    Proc. ICIAP 2013,
    2013
    , pp. 693-
    702
    , (International Conference on Image Analysis and Processing,
    Naples, Italy,
    September 11-13, 2013)
  5. R. Subramanian; Y. Yan; J. Staiano; O. Lanz; N. Sebe,
    On the relationship between head pose, social attention and personality prediction for unstructured and dynamic group interactions,
    Proc. ICMI 2013,
    2013
    , pp. 3-
    10
    , (International Conference on Multimodal Interaction,
    Sydney, Australia,
    December 9-13th, 2013)
  6. Yan Y;; Ricci E.; Subramanian R.; Lanz O.; Sebe N.,
    No Matter Where You Are: Flexible Graph-guided Multi-task Learning for Multi-view Head Pose Classification Under Target Motion,
    Proceedings of ICCV 2013,
    2013
    , pp. 1177-
    1184
    , (International Conference on Computer Vision,
    Sydney,
    Dec 3-6, 2013)
  7. J.M. Odobez; O. Lanz,
    Multimodal Signal Processing, Human Interactions in Meetings,
    Cambridge,
    Cambridge University Press,
    2012
  8. R.L. Vieriu; A. Rajagopal; R. Subramanian; O. Lanz; E. Ricci; N. Sebe; K. Ramakrishnan,
    Boosting-based Transfer Learning for Multi-View Head-Pose Classification From Surveillance Videos,
    Proc. European Signal Processing Conference (EUSIPCO 2012),
    2012
    , (European Signal Processing Conference 2012,
    Bucharest, Romania,
    27-31/08/2012)
  9. P. Chippendale; M. Zanin; C. Andreatta; S. Messelodi; O. Lanz,
    Augmented Reality at FBK,
    2012
    , (Convegno GIRPR 2012,
    Certosa di Pontignano (Siena),
    21-23 Maggio 2012)
  10. Y. Yan; R. Subramanian; O. Lanz; N. Sebe,
    Active Transfer Learning for Multi-View Head-Pose Classification,
    2012
    , (International Conference on Pattern Recognition, ICPR,
    Tsukuba, Japan,
    da 11/11/2012 a 15/11/2012)

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