Oswald Lanz
Oswald Lanz
Email verificata su fbk.eu
TitoloCitata daAnno
Approximate bayesian multibody tracking
O Lanz
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (9), 1436-1449, 2006
2232006
Computers in the human interaction loop
A Waibel, R Stiefelhagen, R Carlson, J Casas, J Kleindienst, L Lamel, ...
Handbook of Ambient Intelligence and Smart Environments, 1071-1116, 2010
186*2010
No matter where you are: Flexible graph-guided multi-task learning for multi-view head pose classification under target motion
Y Yan, E Ricci, R Subramanian, O Lanz, N Sebe
Proceedings of the IEEE international conference on computer vision, 1177-1184, 2013
1212013
Space speaks: towards socially and personality aware visual surveillance
G Zen, B Lepri, E Ricci, O Lanz
Proceedings of the 1st ACM international workshop on Multimodal pervasive …, 2010
862010
A multi-task learning framework for head pose estimation under target motion
Y Yan, E Ricci, R Subramanian, G Liu, O Lanz, N Sebe
IEEE transactions on pattern analysis and machine intelligence 38 (6), 1070-1083, 2015
842015
Method and apparatus for tracking a number of objects or object parts in image sequences
O Lanz
EP Patent 1,879,149, 2016
70*2016
Method and apparatus for tracking a number of objects or object parts in image sequences
O Lanz
US Patent 7,965,867, 2011
702011
Salsa: A novel dataset for multimodal group behavior analysis
X Alameda-Pineda, J Staiano, R Subramanian, L Batrinca, E Ricci, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (8), 1707-1720, 2015
652015
Multi-scale F-formation discovery for group detection
F Setti, O Lanz, R Ferrario, V Murino, M Cristani
2013 IEEE International Conference on Image Processing, 3547-3551, 2013
592013
On the relationship between head pose, social attention and personality prediction for unstructured and dynamic group interactions
R Subramanian, Y Yan, J Staiano, O Lanz, N Sebe
Proceedings of the 15th ACM on International conference on multimodal …, 2013
552013
Method for efficient target detection from images robust to occlusion
O Lanz, S Messelodi
US Patent 8,436,913, 2013
552013
Method for efficient target detection from images robust to occlusion
O Lanz, S Messelodi
EP Patent 2,302,589, 2012
552012
Analyzing free-standing conversational groups: a multimodal approach
X Alameda-Pineda, Y Yan, E Ricci, O Lanz, N Sebe
Proceedings of the 23rd ACM international conference on Multimedia, 5-14, 2015
542015
Exploring transfer learning approaches for head pose classification from multi-view surveillance images
AK Rajagopal, R Subramanian, E Ricci, RL Vieriu, O Lanz, N Sebe
International journal of computer vision 109 (1-2), 146-167, 2014
432014
Uncovering interactions and interactors: Joint estimation of head, body orientation and f-formations from surveillance videos
E Ricci, J Varadarajan, R Subramanian, S Rota Bulo, N Ahuja, O Lanz
Proceedings of the IEEE International Conference on Computer Vision, 4660-4668, 2015
402015
Multimodal corpus of multi-party meetings for automatic social behavior analysis and personality traits detection
N Mana, B Lepri, P Chippendale, A Cappelletti, F Pianesi, P Svaizer, ...
Proceedings of the 2007 workshop on Tagging, mining and retrieval of human …, 2007
392007
An information theoretic rule for sample size adaptation in particle filtering
O Lanz
14th International Conference on Image Analysis and Processing (ICIAP 2007 …, 2007
342007
A generative approach to audio-visual person tracking
R Brunelli, A Brutti, P Chippendale, O Lanz, M Omologo, P Svaizer, ...
International Evaluation Workshop on Classification of Events, Activities …, 2006
302006
An adaptation framework for head-pose classification in dynamic multi-view scenarios
AK Rajagopal, R Subramanian, RL Vieriu, E Ricci, O Lanz, ...
Asian conference on computer vision, 652-666, 2012
292012
An appearance-based particle filter for visual tracking in smart rooms
O Lanz, P Chippendale, R Brunelli
Multimodal Technologies for Perception of Humans, 57-69, 2007
292007
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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