Shot-based object retrieval from video with compressed Fisher Vectors. - Luca Bertinetto; Attilio Fiandrotti; Enrico Magli (EUSIPCO, 2014)

Telecom Italia at TRECVID2014 - Instance Search Task. - Luca Bertinetto; Massimo Balestri; Skjalg Lepsøy; Gianluca Francini; Enrico Magli; Miroslaw Bober (TRECVID, 2014)

Staple: Complementary Learners for Real-Time Tracking. - Luca Bertinetto; Jack Valmadre; Stuart Golodetz; Ondrej Miksik; Philip H. S. Torr (CVPR, 2016)

Fully-Convolutional Siamese Networks for Object Tracking. - Luca Bertinetto; Jack Valmadre; João F. Henriques; Andrea Vedaldi; Philip H. S. Torr (ECCV Workshops (2), 2016)

The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. - Michael Felsberg; Matej Kristan; Jiri Matas; Ales Leonardis; Roman P. Pflugfelder; Gustav Häger; Amanda Berg; Abdelrahman Eldesokey; Jörgen Ahlberg; Luka Cehovin; Tomás Vojír; Alan Lukezic; et al. (ECCV Workshops (2), 2016)

The Visual Object Tracking VOT2016 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin; Tomás Vojír; Gustav Häger; Alan Lukezic; Gustavo Fernández; Abhinav Gupta 001; Alfredo Petrosino; et al. (ECCV Workshops (2), 2016)

Learning feed-forward one-shot learners. - Luca Bertinetto; João F. Henriques; Jack Valmadre; Philip H. S. Torr; Andrea Vedaldi (NIPS, 2016)

End-to-End Representation Learning for Correlation Filter Based Tracking. - Jack Valmadre; Luca Bertinetto; João F. Henriques; Andrea Vedaldi; Philip H. S. Torr (CVPR, 2017)

The Visual Object Tracking VOT2017 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomas Vojir; Gustav Häger; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ICCV Workshops, 2017)

The Sixth Visual Object Tracking VOT2018 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomás Vojír; Goutam Bhat; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ECCV Workshops (1), 2018)

Long-Term Tracking in the Wild: A Benchmark. - Jack Valmadre; Luca Bertinetto; João F. Henriques; Ran Tao 004; Andrea Vedaldi; Arnold W. M. Smeulders; Philip H. S. Torr; Efstratios Gavves (ECCV (3), 2018)

Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation. - Tommaso Cavallari; Luca Bertinetto; Jishnu Mukhoti; Philip H. S. Torr; Stuart Golodetz (3DV, 2019)

Fast Online Object Tracking and Segmentation: A Unifying Approach. - Qiang Wang 051; Li Zhang 040; Luca Bertinetto; Weiming Hu; Philip H. S. Torr (CVPR, 2019)

Anchor Diffusion for Unsupervised Video Object Segmentation. - Zhao Yang 002; Qiang Wang 051; Luca Bertinetto; Song Bai 001; Weiming Hu; Philip H. S. Torr (ICCV, 2019)

The Seventh Visual Object Tracking VOT2019 Challenge Results. - Matej Kristan; Amanda Berg; Linyu Zheng; Litu Rout; Luc Van Gool; Luca Bertinetto; Martin Danelljan; Matteo Dunnhofer; Meng Ni; Min Young Kim 003; Ming Tang 001; Ming-Hsuan Yang 001; et al. (ICCV Workshops, 2019)

Meta-learning with differentiable closed-form solvers. - Luca Bertinetto; João F. Henriques; Philip H. S. Torr; Andrea Vedaldi (ICLR (Poster), 2019)

Learning (to learn) from few examples. - Luca Bertinetto (2019)

Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks. - Luca Bertinetto; Romain Müller; Konstantinos Tertikas; Sina Samangooei; Nicholas A. Lord (CVPR, 2020)

The Eighth Visual Object Tracking VOT2020 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Linbo He; Yushan Zhang; et al. (ECCV Workshops (5), 2020)

Preface. - Luca Bertinetto; João F. Henriques; Samuel Albanie; Michela Paganini; Gül Varol (Preregister@NeurIPS, 2020)

Hierarchical Interaction Network for Video Object Segmentation from Referring Expressions. - Zhao Yang 002; Yansong Tang; Luca Bertinetto; Hengshuang Zhao; Philip H. S. Torr (BMVC, 2021)

On Episodes, Prototypical Networks, and Few-Shot Learning. - Steinar Laenen; Luca Bertinetto (NeurIPS, 2021)

Do Different Tracking Tasks Require Different Appearance Models? - Zhongdao Wang; Hengshuang Zhao; Ya-Li Li 001; Shengjin Wang; Philip H. S. Torr; Luca Bertinetto (NeurIPS, 2021)

Preface. - Samuel Albanie; João F. Henriques; Luca Bertinetto; Alex Hernández-García; Hazel Doughty; Gül Varol (Pre-Registration Workshop @ NeurIPS, 2021)

Parameter-free Online Test-time Adaptation. - Malik Boudiaf; Romain Müller; Ismail Ben Ayed; Luca Bertinetto (CVPR, 2022)

Attacking deep networks with surrogate-based adversarial black-box methods is easy. - Nicholas A. Lord; Romain Müller; Luca Bertinetto (ICLR, 2022)

Self-supervised Test-time Adaptation on Video Data. - Fatemeh Azimi; Sebastian Palacio; Federico Raue; Jörn Hees; Luca Bertinetto; Andreas Dengel 001 (WACV, 2022)

SiamMask: A Framework for Fast Online Object Tracking and Segmentation. - Weiming Hu; Qiang Wang 051; Li Zhang 040; Luca Bertinetto; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2023)