Hospedales, T.[Timothy]
Co Author Listing * Editorial: Learning With Fewer Labels in Computer Vision
* Robust Person Re-Identification by Modelling Feature Uncertainty
Includes: Hospedales, T.[Timothy] Hospedales, T.
Hospedales, T.M.[Timothy M.]
Co Author Listing * Accelerating Self-Supervised Learning via Efficient Training Strategies
* Adaptive Machine Director, An
* Attribute Learning for Understanding Unstructured Social Activity
* Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks
* Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images
* Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation
* Cloud2Curve: Generation and Vectorization of Parametric Sketches
* Cross-Modal Face Matching: Beyond Viewed Sketches
* Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D, A
* Deep Factorised Inverse-Sketching
* Deep Learning for Free-Hand Sketch: A Survey
* Deep Multi-task Attribute-Driven Ranking for Fine-Grained Sketch-Based Image Retrieval
* Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States
* Deep Mutual Learning
* Deep Ranking for Image Zero-Shot Multi-Label Classification
* Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval
* Deeper, Broader and Artier Domain Generalization
* Differentiable Automatic Data Augmentation
* Discovery of Shared Semantic Spaces for Multiscene Video Query and Summarization
* Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice
* Editorial: Special Issue on Machine Vision with Deep Learning
* Episodic Training for Domain Generalization
* Erudite Fine-Grained Visual Classification Model, An
* Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation
* Fine-Grained Instance-Level Sketch-Based Image Retrieval
* Fine-Grained Instance-Level Sketch-Based Video Retrieval
* Fine-Grained Sketch-Based Image Retrieval: The Role of Part-Aware Attributes
* ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching
* Frankenstein: Learning Deep Face Representations Using Small Data
* Free-hand sketch recognition by multi-kernel feature learning
* Free-Hand Sketch Synthesis with Deformable Stroke Models
* Generalising Fine-Grained Sketch-Based Image Retrieval
* Generalizable Person Re-Identification by Domain-Invariant Mapping Network
* Goal-Driven Sequential Data Abstraction
* How Well Do Self-Supervised Models Transfer?
* Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model
* Incremental Few-Shot Object Detection
* Interestingness Prediction by Robust Learning to Rank
* Intra-category sketch-based image retrieval by matching deformable part models
* Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool
* Investigating Open-World Person Re-identification Using a Drone
* iVQA: Inverse Visual Question Answering
* Learning Deep Sketch Abstraction
* Learning Multimodal Latent Attributes
* Learning Rare Behaviours
* Learning to Compare: Relation Network for Few-Shot Learning
* Learning to Generate Novel Domains for Domain Generalization
* Learning to Sketch with Shortcut Cycle Consistency
* L_1 Graph Based Sparse Model for Label De-noising
* Making better use of edges via perceptual grouping
* Markov Clustering Topic Model for Mining Behaviour in Video, A
* Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
* Meta-Learning in Neural Networks: A Survey
* Multi-level Factorisation Net for Person Re-identification
* Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation
* Multivariate Regression on the Grassmannian for Predicting Novel Domains
* NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces
* On Learning Semantic Representations for Large-Scale Abstract Sketches
* On-the-Fly Category Discovery
* Online Meta-learning for Multi-source and Semi-supervised Domain Adaptation
* Open-world Person Re-Identification by Multi-Label Assignment Inference
* Person Re-identification by Attributes
* Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
* Quality Diversity for Visual Pre-Training
* Re-id: Hunting Attributes in the Wild
* Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels
* Scalable and Effective Deep CCA via Soft Decorrelation
* Searching for Robustness: Loss Learning for Noisy Classification Tasks
* Semantic embedding space for zero-shot action recognition
* Semantic Regularisation for Recurrent Image Annotation
* Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
* Simple Feature Augmentation for Domain Generalization, A
* Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval
* Sketch Me That Shoe
* Sketch-a-Classifier: Sketch-Based Photo Classifier Generation
* Sketch-a-Net that Beats Humans
* Sketch-a-Net: A Deep Neural Network that Beats Humans
* Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation
* SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval
* Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval
* Stream-based joint exploration-exploitation active learning
* Structure Inference for Bayesian Multisensory Scene Understanding
* survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution, A
* Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval
* Task-Aware Adaptive Learning for Cross-domain Few-Shot Learning
* Toward Deep Universal Sketch Perceptual Grouper
* Toward Fine-Grained Sketch-Based 3D Shape Retrieval
* Towards Person Identification and Re-identification with Attributes
* Transductive Multi-label Zero-shot Learning
* Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation
* Transductive Multi-View Zero-Shot Learning
* Transductive Zero-Shot Action Recognition by Word-Vector Embedding
* Transferring a semantic representation for person re-identification and search
* Transferring CNNS to multi-instance multi-label classification on small datasets
* Uncertainty-Aware Source-Free Domain Adaptive Semantic Segmentation
* Unified Bayesian Framework for Adaptive Visual Tracking, A
* Unifying Theory of Active Discovery and Learning, A
* Universal Sketch Perceptual Grouping
* Unsupervised Batch Normalization
* Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting
* Video Behaviour Mining Using a Dynamic Topic Model
* Weakly Supervised Learning of Objects, Attributes and Their Associations
* Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes
* When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition
* Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian
* Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style
Includes: Hospedales, T.M.[Timothy M.] Hospedales, T.M. Hospedales, T.M.[Tim M.]
106 for Hospedales, T.M.
Hospedales, T.N.[Timothy N.]
Co Author Listing * BézierSketch: A Generative Model for Scalable Vector Sketches
Hospital, M.
Co Author Listing * 3D Curve Based Matching Method Using Dynamic Programming
* Characterization of Some Drilled Pit Images from Contour and Ridge Points Detection
* Pattern Recognition by Traversal of Connected Components of a Line Segments Field
* Recognition and Positioning of Three-Dimensional Objects by Combining Matchings of Primitive Local Patterns