Index for hosp

Hospedales, T.[Timothy] Co Author Listing * Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States
* Transferring CNNS to multi-instance multi-label classification on small datasets
Includes: Hospedales, T.[Timothy] Hospedales, T.

Hospedales, T.M. Co Author Listing * 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
* Cross-Modal Face Matching: Beyond Viewed Sketches
* Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D, A
* Deep Factorised Inverse-Sketching
* Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval
* Deep Mutual Learning
* Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval
* Deeper, Broader and Artier Domain Generalization
* Discovery of Shared Semantic Spaces for Multiscene Video Query and Summarization
* Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice
* 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
* Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model
* Interestingness Prediction by Robust Learning to Rank
* Intra-category sketch-based image retrieval by matching deformable part models
* 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 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
* 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
* Open-world Person Re-Identification by Multi-Label Assignment Inference
* Person Re-identification by Attributes
* Re-id: Hunting Attributes in the Wild
* Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels
* Scalable and Effective Deep CCA via Soft Decorrelation
* Semantic embedding space for zero-shot action recognition
* Semantic Regularisation for Recurrent Image Annotation
* 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
* SketchMate: Deep Hashing for Million-Scale Human Sketch 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
* Toward Deep Universal Sketch Perceptual Grouper
* 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
* Unified Bayesian Framework for Adaptive Visual Tracking, A
* Unifying Theory of Active Discovery and Learning, A
* Universal Sketch Perceptual Grouping
* 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
Includes: Hospedales, T.M. Hospedales, T.M.[Timothy M.] Hospedales, T.M.[Tim M.]
66 for Hospedales, T.M.

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

Index for "h"


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