Kevin McGuinness
15 papers · 2016–2024 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (32) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Trend Setter
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Keyword Collector
(65)
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Renaissance Researcher
(5)
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Unstoppable · Bronze
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The Questioner
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Conference Pioneer
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Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(11)
Learning Types · Machine Learning
(10)
Computer Vision
(7)
Deep Learning
(6)
Analysis
(5)
Learning Types · Deep Learning
(4)
Application Areas
(3)
Architectures
(3)
Core Methods
(2)
Processing
(2)
Artificial Intelligence
(1)
Interdisciplinary
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Keywords
label noise
(4)
saliency prediction
(3)
convolutional neural network
(3)
representation learning
(2)
contrastive learning
(2)
self-supervised learning
(2)
semi-supervised learning
(1)
noisy label learning
(1)
continual learning
(1)
domain adaptation
(1)
bipartite matching
(1)
transfer learning
(1)
medical imaging
(1)
attention mechanism
(1)
cross-lingual transfer
(1)
imitation learning
(1)
data augmentation
(1)
robust classification
(1)
knowledge distillation
(1)
temporal modeling
(1)
Papers
An accurate detection is not all you need to combat label noise in web-noisy datasets
ECCV 2024
Learning Saliency From Fixations
WACV 2024
Improving Behavioural Cloning with Positive Unlabeled Learning
CoRL 2023
Is Your Noise Correction Noisy? PLS: Robustness To Label Noise With Two Stage Detection
WACV 2023
Motion Aware Self-Supervision for Generic Event Boundary Detection
WACV 2023
TinyHD: Efficient Video Saliency Prediction With Heterogeneous Decoders Using Hierarchical Maps Distillation
WACV 2023
Addressing Out-of-Distribution Label Noise in Webly-Labelled Data
WACV 2022
Embedding Contrastive Unsupervised Features to Cluster in- and Out-of-Distribution Noise in Corrupted Image Datasets
ECCV 2022
Multi-Objective Interpolation Training for Robustness To Label Noise
CVPR 2021
Rethinking 360deg Image Visual Attention Modelling With Unsupervised Learning.
ICCV 2021
Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages
COLING 2020
Assessing Knee OA Severity with CNN attention-based end-to-end architectures
MIDL 2019
Unsupervised Label Noise Modeling and Loss Correction
ICML 2019
People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting
CVPR 2018
Shallow and Deep Convolutional Networks for Saliency Prediction
CVPR 2016