Oswald Lanz
Oswald Lanz
Research Scientist, FBK Trento
Verified email at fbk.eu
Cited by
Cited by
Approximate bayesian multibody tracking
O Lanz
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (9), 1436-1449, 2006
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
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
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
CHIL: Computers in the human interaction loop
A Waibel, H Steusloff, R Stiefelhagen, C consortium
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
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
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
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
Method and apparatus for tracking a number of objects or object parts in image sequences
O Lanz
US Patent 7,965,867, 2011
Learning to detect violent videos using convolutional long short-term memory
S Sudhakaran, O Lanz
2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017
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
LSTA: Long short-term attention for egocentric action recognition
S Sudhakaran, S Escalera, O Lanz
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
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
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
Method for efficient target detection from images robust to occlusion
O Lanz, S Messelodi
US Patent 8,436,913, 2013
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
Attention is All We Need: Nailing Down Object-centric Attention for Egocentric Activity Recognition
S Sudhakaran, O Lanz
British Machine Vision Conference (BMVC), 2018
An information theoretic rule for sample size adaptation in particle filtering
O Lanz
14th International Conference on Image Analysis and Processing (ICIAP 2007 …, 2007
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
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