Timothy M. Hospedales
42 papers · 2013–2023 · 7 venues · across top CS/AI venues
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Achievements
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(4)
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(10)
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(8)
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Research topics
Machine Learning
(34)
Deep Learning
(23)
Computer Vision
(19)
Core Methods
(19)
Learning Types Β· Deep Learning
(19)
Learning Types Β· Machine Learning
(17)
Analysis
(13)
Artificial Intelligence
(12)
Application Areas
(11)
Learning Paradigms
(7)
Reinforcement Learning
(5)
Architectures
(5)
Core AI Β· Artificial Intelligence
(5)
Core AI Β· Computer Vision
(5)
Generation
(5)
Keywords
representation learning
(7)
domain adaptation
(6)
few-shot learning
(5)
transfer learning
(5)
self-supervised learning
(5)
sketch recognition
(4)
feature learning
(4)
person re-identification
(4)
neural network
(4)
generative model
(4)
reinforcement learning
(4)
sketch-based image retrieval
(4)
domain generalization
(4)
data augmentation
(3)
fine-grained retrieval
(3)
zero-shot learning
(3)
image retrieval
(3)
imitation learning
(2)
image classification
(2)
metric learning
(2)
Papers
Accelerating Self-Supervised Learning via Efficient Training Strategies
WACV 2023
Mixture of Normalizing Flows for European Option Pricing
UAI 2023
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
CVPR 2022
A Simple Feature Augmentation for Domain Generalization
ICCV 2021
Cloud2Curve: Generation and Vectorization of Parametric Sketches
CVPR 2021
How Well Do Self-Supervised Models Transfer?
CVPR 2021
NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces
CVPR 2021
Searching for Robustness: Loss Learning for Noisy Classification Tasks
ICCV 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
ICCV 2021
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting
CVPR 2021
Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation
CVPR 2020
Incremental Few-Shot Object Detection
CVPR 2020
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach
AAAI 2020
Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval
CVPR 2020
Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval
CVPR 2020
Disjoint Label Space Transfer Learning with Common Factorised Space
AAAI 2019
Episodic Training for Domain Generalization
ICCV 2019
Generalising Fine-Grained Sketch-Based Image Retrieval
CVPR 2019
Generalizable Person Re-Identification by Domain-Invariant Mapping Network
CVPR 2019
Goal-Driven Sequential Data Abstraction
ICCV 2019
Robust Person Re-Identification by Modelling Feature Uncertainty
ICCV 2019
Deep Factorised Inverse-Sketching
ECCV 2018
Deep Mutual Learning
CVPR 2018
IVQA: Inverse Visual Question Answering
CVPR 2018
Learning Deep Sketch Abstraction
CVPR 2018
Learning to Compare: Relation Network for Few-Shot Learning
CVPR 2018
Learning to Sketch With Shortcut Cycle Consistency
CVPR 2018
Multi-Level Factorisation Net for Person Re-Identification
CVPR 2018
Scalable and Effective Deep CCA via Soft Decorrelation
CVPR 2018
Sketch-a-Classifier: Sketch-Based Photo Classifier Generation
CVPR 2018
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval
CVPR 2018
Universal Sketch Perceptual Grouping
ECCV 2018
Attribute-Enhanced Face Recognition With Neural Tensor Fusion Networks
ICCV 2017
Deeper, Broader and Artier Domain Generalization
ICCV 2017
Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval
ICCV 2017
Semantic Regularisation for Recurrent Image Annotation
CVPR 2017
Tensor Based Knowledge Transfer Across Skill Categories for Robot Control
IJCAI 2017
ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching
CVPR 2016
Multivariate Regression on the Grassmannian for Predicting Novel Domains
CVPR 2016
Sketch Me That Shoe
CVPR 2016
Transferring a Semantic Representation for Person Re-Identification and Search
CVPR 2015
Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation
ICCV 2013