← Authors

Luca Bertinetto

13 papers · 2016–2022 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) πŸ—ΊοΈ Taxonomy Completionist (28) 🧭 Keyword Pioneer πŸƒ Academic Marathon (6) 🐣 Hot Topic Early Bird πŸ—ƒοΈ Keyword Collector (50) πŸš€ Conference Pioneer πŸ’Ž Century Club (13) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

CVPR (5) NIPS (3) ICLR (2) ECCV (1) ICCV (1) WACV (1)

Top co-authors

Andrea Vedaldi (4) Jack Valmadre (4) Romain Mueller (3) Philip H. S. Torr (3) Philip Torr (3) JoΓ£o F. Henriques (3) Weiming Hu (2) Qiang Wang (2) Nicholas A. Lord (2) Philip H.S. Torr (2)

Research topics

Computer Vision (1)

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