Luca Bertinetto
13 papers · 2016–2022 · 6 conferences · across top CS/AI conferences
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Conferences
CVPR (5)
NIPS (3)
ICLR (2)
ECCV (1)
ICCV (1)
WACV (1)
Top co-authors
Research topics
Keywords
object tracking
(4)
correlation filter
(2)
video object segmentation
(2)
test-time adaptation
(2)
self-supervised learning
(2)
representation learning
(2)
real-time tracking
(2)
multi-task learning
(1)
metric learning
(1)
one-shot learning
(1)
domain adaptation
(1)
visual object tracking
(1)
ridge regression
(1)
online learning
(1)
image classification
(1)
covariate shift
(1)
nearest neighbor
(1)
episodic learning
(1)
appearance model
(1)
deep learning
(1)
Papers
Parameter-Free Online Test-Time Adaptation
CVPR 2022
Self-Supervised Test-Time Adaptation on Video Data
WACV 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy
ICLR 2022
Do Different Tracking Tasks Require Different Appearance Models?
NIPS 2021
On Episodes, Prototypical Networks, and Few-Shot Learning
NIPS 2021
Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks
CVPR 2020
Anchor Diffusion for Unsupervised Video Object Segmentation
ICCV 2019
Fast Online Object Tracking and Segmentation: A Unifying Approach
CVPR 2019
Meta-learning with differentiable closed-form solvers
ICLR 2019
Long-term Tracking in the Wild: a Benchmark
ECCV 2018
End-To-End Representation Learning for Correlation Filter Based Tracking
CVPR 2017
Learning feed-forward one-shot learners
NIPS 2016
Staple: Complementary Learners for Real-Time Tracking
CVPR 2016