← Authors

Jack Valmadre

10 papers · 2015–2024 · 5 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (9) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (24) 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion πŸ“ˆ Trend Setter πŸ’Ž Century Club (10) πŸš€ Conference Pioneer

Conferences

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

Top co-authors

Luca Bertinetto (4) Andrea Vedaldi (3) Simon Lucey (2) Philip H. S. Torr (2) Philip Torr (2) JoΓ£o F. Henriques (2) Philip H.S. Torr (1) JoΓ£o Henriques (1) Cordelia Schmid (1) Heng Wang (1)

Research topics

Computer Vision (1)

Keywords

object tracking (2) neural network (2) correlation filter (2) representation learning (1) deformable convolution (1) noisy label learning (1) hierarchical classification (1) ridge regression (1) parameter prediction (1) deep learning (1) loss landscape (1) feature space (1) gradient descent (1) linear discriminant analysis (1) optical flow (1) real-time tracking (1) visual tracking (1) pixel classification (1) visual object tracking (1) label propagation (1)

Papers

An accurate detection is not all you need to combat label noise in web-noisy datasets ECCV 2024
On skip connections and normalisation layers in deep optimisation NIPS 2023
Learning With Neighbor Consistency for Noisy Labels CVPR 2022
Hierarchical classification at multiple operating points NIPS 2022
Devon: Deformable Volume Network for Learning Optical Flow WACV 2020
Long-term Tracking in the Wild: a Benchmark ECCV 2018
End-To-End Representation Learning for Correlation Filter Based Tracking CVPR 2017
Staple: Complementary Learners for Real-Time Tracking CVPR 2016
Learning feed-forward one-shot learners NIPS 2016
Dense Semantic Correspondence Where Every Pixel is a Classifier ICCV 2015