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Luca Bertinetto
Luca Bertinetto
University of Oxford
在 exscientia.co.uk 的电子邮件经过验证 - 首页
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引用次数
引用次数
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Fully-convolutional siamese networks for object tracking
L Bertinetto, J Valmadre, JF Henriques, A Vedaldi, PHS Torr
Proceedings of the European Conference on Computer Vision (ECCV) Workshops …, 2016
49982016
Staple: Complementary Learners for Real-Time Tracking
L Bertinetto, J Valmadre, S Golodetz, O Miksik, P Torr
CVPR - The IEEE Conference on Computer Vision and Pattern Recognition, 2016
21322016
End-to-end representation learning for the Correlation Filter
J Valmadre, L Bertinetto, JF Henriques, A Vedaldi, PHS Torr
CVPR - The IEEE Conference on Computer Vision and Pattern Recognition, 2017
1842*2017
Fast online object tracking and segmentation: A unifying approach
Q Wang, L Zhang, L Bertinetto, W Hu, PHS Torr
CVPR - Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
16332019
Meta-learning with differentiable closed-form solvers
L Bertinetto, JF Henriques, PHS Torr, A Vedaldi
ICLR - Proceedings of the 7th International Conference on Learning …, 2019
11222019
The sixth visual object tracking vot2018 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018
9682018
Learning feed-forward one-shot learners
L Bertinetto, JF Henriques, J Valmadre, P Torr, A Vedaldi
NeurIPS - Advances in Neural Information Processing Systems, 523-531, 2016
5492016
The eighth visual object tracking VOT2020 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
3272020
Long-term Tracking in the Wild: A Benchmark
J Valmadre, L Bertinetto, JF Henriques, R Tao, A Vedaldi, A Smeulders, ...
ECCV - The European Conference on Computer Vision, 2018
1962018
The visual object tracking vot2016 challenge results
G Roffo, S Melzi
Computer Vision--ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
162*2016
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
L Bertinetto, R Mueller, K Tertikas, S Samangooei, NA Lord
CVPR - The IEEE Conference on Computer Vision and Pattern Recognition, 2020
1392020
Parameter-free Online Test-time Adaptation
M Boudiaf, R Mueller, IB Ayed, L Bertinetto
CVPR - The IEEE Conference on Computer Vision and Pattern Recognition, 2022
1332022
Anchor diffusion for unsupervised video object segmentation
Z Yang, Q Wang, L Bertinetto, W Hu, S Bai, PHS Torr
ICCV - Proceedings of the IEEE/CVF International Conference on Computer …, 2019
1312019
On episodes, prototypical networks, and few-shot learning
S Laenen, L Bertinetto
NeurIPS - Advances in Neural Information Processing Systems, 2021
1072021
Do Different Tracking Tasks Require Different Appearance Models?
Z Wang, H Zhao, YL Li, S Wang, PHS Torr, L Bertinetto
NeurIPS - Advances in Neural Information Processing Systems, 2021
872021
SiamMask: A Framework for Fast Online Object Tracking and Segmentation
W Hu, Q Wang, L Zhang, L Bertinetto, PHS Torr
TPAMI - IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
682022
Let's take this online: Adapting scene coordinate regression network predictions for online RGB-D camera relocalisation
T Cavallari, L Bertinetto, J Mukhoti, P Torr, S Golodetz
3DV - International Conference on 3D Vision, 564-573, 2019
432019
Self-supervised test-time adaptation on video data
F Azimi, S Palacio, F Raue, J Hees, L Bertinetto, A Dengel
WACV - Proceedings of the IEEE/CVF Winter Conference on Applications of …, 2022
292022
Attacking deep networks with surrogate-based adversarial black-box methods is easy
NA Lord, R Mueller, L Bertinetto
ICLR - Proceedings of the 10th International Conference on Learning …, 2022
232022
The Importance of Estimating Object Extent when Tracking with Correlation Filters
L Bertinetto, J Valmadre, O Miksik, S Golodetz, P Torr
Technical report, 2015
72015
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