Jack Valmadre
10 papers · 2015–2024 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24)
🧭
Keyword Pioneer
📈
Trend Setter
💎
Century Club · Bronze
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Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(6)
Core Methods
(5)
Learning Types · Machine Learning
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Analysis
(3)
Core AI
(3)
Learning Types · Deep Learning
(3)
Architectures
(2)
Optimization & Theory · Machine Learning
(2)
Techniques
(2)
Learning Paradigms
(1)
Optimization & Theory · Deep Learning
(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
NeurIPS 2023
Hierarchical classification at multiple operating points
NeurIPS 2022
Learning With Neighbor Consistency for Noisy Labels
CVPR 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
Learning feed-forward one-shot learners
NeurIPS 2016
Staple: Complementary Learners for Real-Time Tracking
CVPR 2016
Dense Semantic Correspondence Where Every Pixel is a Classifier
ICCV 2015