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Luca Bertinetto
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2020 – today
- 2023
- [j1]Weiming Hu
, Qiang Wang, Li Zhang
SiamMask: A Framework for Fast Online Object Tracking and Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3072-3089 (2023) - 2022
- [c26]Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto:
Parameter-free Online Test-time Adaptation. CVPR 2022: 8334-8343 - [c25]Nicholas A. Lord, Romain Müller, Luca Bertinetto:
Attacking deep networks with surrogate-based adversarial black-box methods is easy. ICLR 2022 - [c24]Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto, Andreas Dengel:
Self-supervised Test-time Adaptation on Video Data. WACV 2022: 2603-2612 - [i15]Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto:
Parameter-free Online Test-time Adaptation. CoRR abs/2201.05718 (2022) - [i14]Nicholas A. Lord, Romain Müller, Luca Bertinetto:
Attacking deep networks with surrogate-based adversarial black-box methods is easy. CoRR abs/2203.08725 (2022) - [i13]Weiming Hu, Qiang Wang, Li Zhang, Luca Bertinetto, Philip H. S. Torr:
SiamMask: A Framework for Fast Online Object Tracking and Segmentation. CoRR abs/2207.02088 (2022) - 2021
- [c23]Zhao Yang, Yansong Tang, Luca Bertinetto, Hengshuang Zhao, Philip H. S. Torr:
Hierarchical Interaction Network for Video Object Segmentation from Referring Expressions. BMVC 2021: 254 - [c22]Zhongdao Wang, Hengshuang Zhao, Ya-Li Li, Shengjin Wang, Philip H. S. Torr, Luca Bertinetto:
Do Different Tracking Tasks Require Different Appearance Models? NeurIPS 2021: 726-738 - [c21]Steinar Laenen, Luca Bertinetto:
On Episodes, Prototypical Networks, and Few-Shot Learning. NeurIPS 2021: 24581-24592 - [c20]Samuel Albanie, João F. Henriques, Luca Bertinetto, Alex Hernández-García, Hazel Doughty, Gül Varol:
Preface. Pre-Registration Workshop @ NeurIPS 2021: i - [e2]Samuel Albanie, João F. Henriques, Luca Bertinetto, Alex Hernández-García, Hazel Doughty, Gül Varol:
NeurIPS 2021 Workshop on Pre-Registration in Machine Learning, 13 December 2021, Virtual. Proceedings of Machine Learning Research 181, PMLR 2021 [contents] - [i12]Zhongdao Wang, Hengshuang Zhao, Ya-Li Li, Shengjin Wang, Philip H. S. Torr, Luca Bertinetto:
Do Different Tracking Tasks Require Different Appearance Models? CoRR abs/2107.02156 (2021) - 2020
- [c19]Luca Bertinetto, Romain Müller, Konstantinos Tertikas, Sina Samangooei, Nicholas A. Lord:
Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks. CVPR 2020: 12503-12512 - [c18]Matej Kristan, Ales Leonardis, Jiri Matas
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c17]Luca Bertinetto, João F. Henriques, Samuel Albanie, Michela Paganini, Gül Varol:
Preface. Preregister@NeurIPS 2020: i - [e1]Luca Bertinetto, João F. Henriques, Samuel Albanie, Michela Paganini, Gül Varol:
NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 11 December 2020, Virtual Event. Proceedings of Machine Learning Research 148, PMLR 2020 [contents] - [i11]Steinar Laenen, Luca Bertinetto:
On Episodes, Prototypical Networks, and Few-shot Learning. CoRR abs/2012.09831 (2020)
2010 – 2019
- 2019
- [b1]Luca Bertinetto:
Learning (to learn) from few examples. University of Oxford, UK, 2019 - [c16]Tommaso Cavallari, Luca Bertinetto, Jishnu Mukhoti, Philip H. S. Torr, Stuart Golodetz:
Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation. 3DV 2019: 564-573 - [c15]Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H. S. Torr:
Fast Online Object Tracking and Segmentation: A Unifying Approach. CVPR 2019: 1328-1338 - [c14]Zhao Yang, Qiang Wang, Luca Bertinetto, Song Bai, Weiming Hu, Philip H. S. Torr:
Anchor Diffusion for Unsupervised Video Object Segmentation. ICCV 2019: 931-940 - [c13]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c12]Luca Bertinetto, João F. Henriques, Philip H. S. Torr, Andrea Vedaldi:
Meta-learning with differentiable closed-form solvers. ICLR (Poster) 2019 - [i10]Tommaso Cavallari, Luca Bertinetto, Jishnu Mukhoti, Philip H. S. Torr, Stuart Golodetz:
Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation. CoRR abs/1906.08744 (2019) - [i9]Zhao Yang, Qiang Wang, Luca Bertinetto, Weiming Hu, Song Bai, Philip H. S. Torr:
Anchor Diffusion for Unsupervised Video Object Segmentation. CoRR abs/1910.10895 (2019) - [i8]Luca Bertinetto, Romain Müller, Konstantinos Tertikas, Sina Samangooei, Nicholas A. Lord:
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks. CoRR abs/1912.09393 (2019) - 2018
- [c11]Matej Kristan, Ales Leonardis, Jiri Matas
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c10]Jack Valmadre
Long-Term Tracking in the Wild: A Benchmark. ECCV (3) 2018: 692-707 - [i7]Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W. M. Smeulders, Philip H. S. Torr, Efstratios Gavves:
Long-term Tracking in the Wild: A Benchmark. CoRR abs/1803.09502 (2018) - [i6]Luca Bertinetto, João F. Henriques, Philip H. S. Torr, Andrea Vedaldi:
Meta-learning with differentiable closed-form solvers. CoRR abs/1805.08136 (2018) - [i5]Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H. S. Torr:
Fast Online Object Tracking and Segmentation: A Unifying Approach. CoRR abs/1812.05050 (2018) - 2017
- [c9]Jack Valmadre
End-to-End Representation Learning for Correlation Filter Based Tracking. CVPR 2017: 5000-5008 - [c8]Matej Kristan, Ales Leonardis, Jiri Matas
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 2017: 1949-1972 - [i4]Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr:
End-to-end representation learning for Correlation Filter based tracking. CoRR abs/1704.06036 (2017) - 2016
- [c7]Luca Bertinetto, Jack Valmadre
Staple: Complementary Learners for Real-Time Tracking. CVPR 2016: 1401-1409 - [c6]Matej Kristan, Ales Leonardis, Jiri Matas
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823 - [c5]Michael Felsberg
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. ECCV Workshops (2) 2016: 824-849 - [c4]Luca Bertinetto, Jack Valmadre
Fully-Convolutional Siamese Networks for Object Tracking. ECCV Workshops (2) 2016: 850-865 - [c3]Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, Andrea Vedaldi:
Learning feed-forward one-shot learners. NIPS 2016: 523-531 - [i3]Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, Andrea Vedaldi:
Learning feed-forward one-shot learners. CoRR abs/1606.05233 (2016) - [i2]Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr:
Fully-Convolutional Siamese Networks for Object Tracking. CoRR abs/1606.09549 (2016) - 2015
- [i1]Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H. S. Torr:
Staple: Complementary Learners for Real-Time Tracking. CoRR abs/1512.01355 (2015) - 2014
- [c2]Luca Bertinetto, Attilio Fiandrotti, Enrico Magli:
Shot-based object retrieval from video with compressed Fisher Vectors. EUSIPCO 2014: 2210-2214 - [c1]Luca Bertinetto, Massimo Balestri, Skjalg Lepsøy, Gianluca Francini, Enrico Magli, Miroslaw Bober:
Telecom Italia at TRECVID2014 - Instance Search Task. TRECVID 2014
Coauthor Index
Rama Krishna Sai S. Gorthi
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
Philip Torr 0001
aka: Philip H. S. Torr
aka: Philip H. S. Torr
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