Nicolas Pugeault
7 papers · 2012–2024 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (22)
🧭
Keyword Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(4)
Computer Vision
(3)
Core Methods
(3)
Artificial Intelligence
(2)
Analysis
(2)
Architectures
(2)
Core AI · Artificial Intelligence
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Reinforcement Learning
(1)
Applications
(1)
Core AI · Computer Vision
(1)
Domain-Specific
(1)
Methods
(1)
Keywords
sign language recognition
(2)
visual saliency
(2)
adversarial robustness
(1)
object recognition
(1)
hierarchical classification
(1)
image captioning
(1)
temporal encoding
(1)
deep learning
(1)
lesion segmentation
(1)
model interpretability
(1)
human attention
(1)
video analysis
(1)
continuous control
(1)
lyapunov exponent
(1)
chaotic dynamics
(1)
markov model
(1)
adversarial attack
(1)
denoising autoencoder
(1)
convolutional neural network
(1)
deep rl
(1)
Papers
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach
NeurIPS 2024
Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI
MIDL 2022
Human Attention in Image Captioning: Dataset and Analysis
ICCV 2019
Understanding and Visualizing Deep Visual Saliency Models
CVPR 2019
Taking the Scenic Route to 3D: Optimising Reconstruction From Moving Cameras
ICCV 2017
Sign Spotting using Hierarchical Sequential Patterns with Temporal Intervals
CVPR 2014
Sign Language Recognition using Sub-Units
JMLR 2012