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Luca Minciullo
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Toyota smarthome: Real-world activities of daily living
S Das, R Dai, M Koperski, L Minciullo, L Garattoni, F Bremond, ...
Proceedings of the IEEE/CVF international conference on computer vision, 833-842, 2019
1402019
Fast weakly supervised action segmentation using mutual consistency
Y Souri, M Fayyaz, L Minciullo, G Francesca, J Gall
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6196 …, 2021
572021
Cps: Class-level 6d pose and shape estimation from monocular images
F Manhardt, M Nickel, S Meier, L Minciullo, N Navab
arXiv preprint arXiv:2003.05848 3 (8), 2020
572020
Pdan: Pyramid dilated attention network for action detection
R Dai, S Das, L Minciullo, L Garattoni, G Francesca, F Bremond
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
482021
Toyota smarthome untrimmed: Real-world untrimmed videos for activity detection
R Dai, S Das, S Sharma, L Minciullo, L Garattoni, F Bremond, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 2533-2550, 2022
37*2022
DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration
P Wang, F Manhardt, L Minciullo, L Garattoni, SD Meier, N Navab, ...
IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, 2021
23*2021
Fully Automated shape analysis for Detection of Osteoarthritis from Lateral Knee Radiographs
L Minciullo, TF Cootes
International Conference Pattern Recognition, 3787-3791, 2016
212016
Self-attention temporal convolutional network for long-term daily living activity detection
R Dai, L Minciullo, L Garattoni, G Francesca, F Bremond
2019 16th IEEE International Conference on Advanced Video and Signal Based …, 2019
202019
Selective spatio-temporal aggregation based pose refinement system: Towards understanding human activities in real-world videos
D Yang, R Dai, Y Wang, R Mallick, L Minciullo, G Francesca, F Bremond
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
182021
Indecisive trees for classification and prediction of knee osteoarthritis
L Minciullo, PA Bromiley, DT Felson, TF Cootes
Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017
152017
Comparing image analysis approaches versus expert readers: the relation of knee radiograph features to knee pain
L Minciullo, MJ Parkes, DT Felson, TF Cootes
Annals of the rheumatic diseases 77 (11), 1606-1609, 2018
112018
DB-GAN: Boosting object recognition under strong lighting conditions
L Minciullo, F Manhardt, K Yoshikawa, S Meier, F Tombari, N Kobori
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
82021
On evaluating weakly supervised action segmentation methods
Y Souri, A Richard, L Minciullo, J Gall
arXiv preprint arXiv:2005.09743, 2020
52020
Combination of lateral and PA view radiographs to study development of knee OA and associated pain
L Minciullo, J Thomson, TF Cootes
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 255-261, 2017
32017
Unmixing multi-spectral electrical impedance tomography (EIT) predicts clinical-standard controlled attenuation parameter (CAP) for nonalcoholic fatty liver disease …
A Touboul, F Zouari, L Minciullo, D Modak, RMV Lee, EC Wong, MF Yuen, ...
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
22022
CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels
C Wu, S Liu, X Huang, X Wang, R Zhang, L Minciullo, WK Yiu, K Kwan, ...
arXiv preprint arXiv:2312.09066, 2023
2023
Machine Learning Applied to the Study of Knee Osteoarthritis and Associated Pain
L Minciullo
University of Manchester, 2019
2019
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Articles 1–17