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 Associate 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.

1. 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,
   International Conference on Acoustics, Speech and Signal Processing,
   2018
   , pp. 3071-
   3075
   , (International Conference on Acoustics, Speech and Signal Processing,
   Calgary (Canada),
   April, 15-20)
2. Porzi, Lorenzo; Rota Bulò, Samuel; Lanz, Oswald; Valigi, Paolo; Ricci, Elisa,
   An automatic image-to-DEM alignment approach for annotating mountains pictures on a smartphone,
   in «MACHINE VISION AND APPLICATIONS»,
   vol. 28,
   n. 1-2,
   2017
   , pp. 101 -
   115
3. 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»,
   2017
4. Xavier, Alameda-Pineda; Ramanathan, Subramanian; Elisa, Ricci; Oswald, Lanz; Nicu, Sebe,
   SALSA: A Multimodal Dataset for the Automated Analysis of Free-Standing Social Interactions,
   Group and Crowd Behavior for Computer Vision,
   2017
   , pp. 321 -
   340
5. Elisa, Ricci; Yan, Yan; Rajagopal, Anoop K.; Ramanathan, Subramanian; Vieriu, Radu L.; Oswald, Lanz; Nicu, Sebe,
   Exploring Multitask and Transfer Learning Algorithms for Head Pose Estimation in Dynamic Multiview Scenarios,
   Group and Crowd Behavior for Computer Vision,
   2017
   , pp. 67 -
   87
6. Sudhakaran, Swathikiran; Lanz, Oswald,
   Learning to Detect Violent Videos using Convolutional Long Short-Term Memory,
   Proc 2017 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS),
   2017
   , (2017 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS),
   Lecce, Italy,
   29 Aug - 1 Sept, 2017)
7. Swathikiran, Sudhakaran; Oswald, Lanz,
   Convolutional Long Short-Term Memory Networks for Recognizing First Person Interactions,
   Proc. 2017 IEEE International Conference on Computer Vision (ICCV),
   2017
   , pp. 2339-
   2346
   , (IEEE International Conference on Computer Vision Workshop (ICCVW),
   Venice,
   Oct 22-29)
8. Alameda-Pineda, Xavier; Staiano, Jacopo; Subramanian, Ramanathan; Batrinca, Ligia Maria; Ricci, Elisa; Lepri, Bruno; Lanz, Oswald; Sebe, Nicu,
   SALSA: A Novel Dataset for Multimodal Group Behaviour Analysis,
   in «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE»,
   vol. 38,
   n. 8,
   2016
   , pp. 1707 -
   1720
9. Yan, Yan; Ricci, Elisa; Subramanian, Ramanathan; Liu, Gaowen; Lanz, Oswald; Sebe, Nicu,
   A Multi-task Learning Framework for Head Pose Estimation under Target Motion,
   in «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE»,
   vol. 38,
   n. 6,
   2016
   , pp. 1070 -
   1083
10. Hu, Tao; Messelodi, Stefano; Lanz, Oswald,
    Dynamic Task Decomposition for Decentralized Object Tracking in Complex Scenes,
    in «COMPUTER VISION AND IMAGE UNDERSTANDING»,
    vol. 134,
    2015
    , pp. 89 -
    104

Pages