Luca Bertinetto
13 papers · 2016–2022 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(10)
Learning Types · Machine Learning
(8)
Computer Vision
(6)
Deep Learning
(6)
Artificial Intelligence
(5)
Analysis
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Core Methods
(5)
Learning Types · Deep Learning
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Architectures
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Core AI
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Learning Paradigms · Artificial Intelligence
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Processing
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Learning Paradigms · Machine Learning
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Optimization & Theory
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Keywords
object tracking
(4)
self-supervised learning
(2)
real-time tracking
(2)
few-shot learning
(2)
ridge regression
(2)
test-time adaptation
(2)
neural network
(2)
correlation filter
(2)
video object segmentation
(2)
representation learning
(2)
multi-task learning
(1)
visual object tracking
(1)
metric learning
(1)
one-shot learning
(1)
domain adaptation
(1)
online learning
(1)
image classification
(1)
nearest neighbor
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covariate shift
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deep learning
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Papers
Attacking deep networks with surrogate-based adversarial black-box methods is easy
ICLR 2022
Parameter-Free Online Test-Time Adaptation
CVPR 2022
Self-Supervised Test-Time Adaptation on Video Data
WACV 2022
Do Different Tracking Tasks Require Different Appearance Models?
NeurIPS 2021
On Episodes, Prototypical Networks, and Few-Shot Learning
NeurIPS 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
NeurIPS 2016
Staple: Complementary Learners for Real-Time Tracking
CVPR 2016