Takip et
Francesco Setti
Francesco Setti
univr.it üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Alıntı yapanlar
Alıntı yapanlar
F-formation detection: Individuating free-standing conversational groups in images
F Setti, C Russell, C Bassetti, M Cristani
PloS one 10 (5), e0123783, 2015
MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses
I Hasan, F Setti, T Tsesmelis, A Del Bue, F Galasso, M Cristani
IEEE International Conference on Computer Vision (CVPR), 2018
Multi-Scale F-Formation Discovery for Group Detection
F Setti, O Lanz, R Ferrario, V Murino, M Cristani
Image Processing (ICIP), 2013 20th IEEE International Conference on, 3547-3551, 2013
The visual social distancing problem
M Cristani, A Del Bue, V Murino, F Setti, A Vinciarelli
Ieee Access 8, 126876-126886, 2020
The s-hock dataset: Analyzing crowds at the stadium
D Conigliaro, P Rota, F Setti, C Bassetti, N Conci, N Sebe, M Cristani
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Group Detection in Still Images by F-formation Modeling: a Comparative Study
F Setti, H Hung, M Cristani
WIAMIS, 2013
Forecasting people trajectories and head poses by jointly reasoning on tracklets and vislets
I Hasan, F Setti, T Tsesmelis, V Belagiannis, S Amin, A Del Bue, ...
IEEE transactions on pattern analysis and machine intelligence 43 (4), 1267-1278, 2019
Semantically-driven automatic creation of training sets for object recognition
DS Cheng, F Setti, N Zeni, R Ferrario, M Cristani
Computer Vision and Image Understanding 131, 56-71, 2015
" seeing is believing": Pedestrian trajectory forecasting using visual frustum of attention
I Hasan, F Setti, T Tsesmelis, A Del Bue, M Cristani, F Galasso
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1178-1185, 2018
Multiagent Socio-Technical Systems. An Ontological Approach
D Porello, F Setti, R Ferrario, M Cristani
COIN Workshop, in conj. with AAMAS, 2013
A multirobots teleoperated platform for artificial intelligence training data collection in minimally invasive surgery
F Setti, E Oleari, A Leporini, D Trojaniello, A Sanna, U Capitanio, ...
2019 International Symposium on Medical Robotics (ISMR), 1-7, 2019
A unified framework for uncertainty, compatibility analysis, and data fusion for multi-stereo 3-D shape estimation
M De Cecco, M Pertile, L Baglivo, M Lunardelli, F Setti, M Tavernini
IEEE Transactions on Instrumentation and Measurement 59 (11), 2834-2842, 2010
Cognitive robotic architecture for semi-autonomous execution of manipulation tasks in a surgical environment
G De Rossi, M Minelli, A Sozzi, N Piccinelli, F Ferraguti, F Setti, M Bonfé, ...
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
Attento: Attention observed for automated spectator crowd analysis
D Conigliaro, F Setti, C Bassetti, R Ferrario, M Cristani
International Workshop on Human Behavior Understanding, 102-111, 2013
Technical and functional validation of a teleoperated multirobots platform for minimally invasive surgery
A Leporini, E Oleari, C Landolfo, A Sanna, A Larcher, G Gandaglia, ...
IEEE Transactions on Medical Robotics and Bionics 2 (2), 148-156, 2020
Enhancing surgical process modeling for artificial intelligence development in robotics: the saras case study for minimally invasive procedures
E Oleari, A Leporini, D Trojaniello, A Sanna, U Capitanio, F Dehó, ...
2019 13th International Symposium on Medical Information and Communication …, 2019
The S-Hock dataset: A new benchmark for spectator crowd analysis
F Setti, D Conigliaro, P Rota, C Bassetti, N Conci, N Sebe, M Cristani
Computer Vision and Image Understanding 159, 47-58, 2017
Viewing the viewers: A novel challenge for automated crowd analysis
D Conigliaro, F Setti, C Bassetti, R Ferrario, M Cristani
International Conference on Image Analysis and Processing, 517-526, 2013
Shape measurement system for single point incremental forming (SPIF) manufacts by using trinocular vision and random pattern
F Setti, R Bini, M Lunardelli, P Bosetti, S Bruschi, M De Cecco
Measurement Science and Technology 23 (11), 115402, 2012
Recognition self-awareness for active object recognition on depth images.
A Roberti, M Carletti, F Setti, U Castellani, P Fiorini, M Cristani
BMVC, 15, 2018
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