Oswald Lanz

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.

NEWS

2019.11: I gave an invited talk at the ICCV'19 Egocentric Perception, Interaction and Computing (EPIC@ICCV19) workshop in Seoul, Korea.

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 Sudhakaran successfully defended his PhD thesis and graduated with cum laude mark. Congrats to my first PhD graduate!

2019.06: We ranked 3rd in the CVPR'19 EPIC Kitchens Action Recognition challenge, behind teams from Baidu and Facebook AI. 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: Extended abstract accepted at CVPR'19 Mutual benefits of cognitive and computer vision workshop.

2019.04: Paper accepted at ICIP'19 main program.

2019.02: Paper 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.

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»,
   vol. 21,
   n. 10,
   2019
   , pp. 2576 -
   2588
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
   , pp. 9954-
   9963
   , (IEEE Computer Society Conference on Computer Vision and Pattern Recognition,
   Long Beach, CA,
   16 - 20 June, 2019)
4. Ilyes Lakhal, Mohamed; Lanz, Oswald; Cavallaro, Andrea,
   Learnable masks for pose-guided view synthesis,
   Proceedings of the IEEE International Conference on Image Processing (ICIP),
   2019
   , (IEEE International Conference on Image Processing,
   Taipei, Taiwan,
   22-25 September)
5. 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)
6. Sudhakaran, Swathikiran; Escalera, Sergio; Lanz, Oswald,
   FBK-HUPBA Submission to the EPIC-Kitchens 2019 Action Recognition Challenge,
   In this report we describe the technical details of our submission to the EPIC-Kitchens 2019 action recognition challenge. To participate in the challenge we have developed a number of CNN-LSTA [3] and HF-TSN [2] variants, and submitted predictions from an ensemble compiled out of these two model families. Our submission, visible on the public leaderboard with team name FBK-HUPBA, achieved a top-1 action recognition accuracy of 35.54% on S1 setting, and 20.25% on S2 setting.,
   2019
7. 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
8. 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)
9. 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)
10. 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)

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