Hospedales, T.
Standard Author Listing
with: Bohdal, O.: Feed-Forward Latent Domain Adaptation
with: Hu, S.X.: Feed-Forward Latent Domain Adaptation
with: Huszar, F.: Meta-Learned Kernel For Blind Super-Resolution Kernel Esti...
with: Lane, N.D.: Meta-Learned Kernel For Blind Super-Resolution Kernel Esti...
with: LeCun, Y.: Editorial: Learning With Fewer Labels in Computer Vision
with: Lee, R.: Meta-Learned Kernel For Blind Super-Resolution Kernel Estimat...
with: Li, D.: Feed-Forward Latent Domain Adaptation
with: Li, D.: Robust Person Re-Identification by Modelling Feature Uncertainty
with: Li, R.: Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation
with: Liu, L.: Editorial: Learning With Fewer Labels in Computer Vision
with: Long, M.S.: Editorial: Learning With Fewer Labels in Computer Vision
with: Luo, J.B.: Editorial: Learning With Fewer Labels in Computer Vision
with: Ouyang, W.L.: Editorial: Learning With Fewer Labels in Computer Vision
with: Pietikainen, M.: Editorial: Learning With Fewer Labels in Computer Vis...
with: Tuytelaars, T.: Editorial: Learning With Fewer Labels in Computer Vision
with: Venieris, S.: Meta-Learned Kernel For Blind Super-Resolution Kernel Es...
with: Xiang, T.: Robust Person Re-Identification by Modelling Feature Uncert...
with: Yang, Y.: Robust Person Re-Identification by Modelling Feature Uncerta...
with: Yu, T.: Robust Person Re-Identification by Modelling Feature Uncertainty
19 for Hospedales, T.
Hospedales, T.M.
Standard Author Listing
with: Antoniou, A.: Meta-Learning in Neural Networks: A Survey
with: Bhunia, A.K.: Sketch Less for More: On-the-Fly Fine-Grained Sketch-Bas...
with: Bhunia, A.K.: Vectorization and Rasterization: Self-Supervised Learnin...
with: Bilen, H.: Accelerating Self-Supervised Learning via Efficient Trainin...
with: Bilen, H.: Unsupervised Batch Normalization
with: Bohdal, O.: Meta Omnium: A Benchmark for General-Purpose Learning-to-L...
with: Bulat, A.: Factorized Higher-Order CNNs With an Application to Spatio-...
with: Burke, M.: NewtonianVAE: Proportional Control and Goal Identification ...
with: Camplani, M.: Dataset for Persistent Multi-target Multi-camera Trackin...
with: Cancela, B.: Open-world Person Re-Identification by Multi-Label Assign...
with: Chang, D.L.: Erudite Fine-Grained Visual Classification Model, An
with: Chang, D.L.: On-the-Fly Category Discovery
with: Chang, X.: Multi-level Factorisation Net for Person Re-identification
with: Chang, X.B.: Scalable and Effective Deep CCA via Soft Decorrelation
with: Chang, X.O.: L_1 Graph Based Sparse Model for Label De-noising
with: Chavhan, R.: Meta Omnium: A Benchmark for General-Purpose Learning-to-...
with: Chavhan, R.: Quality Diversity for Visual Pre-Training
with: Chowdhury, P.N.: Vectorization and Rasterization: Self-Supervised Lear...
with: Christmas, W.: When Face Recognition Meets with Deep Learning: An Eval...
with: Cui, B.: Deep Ranking for Image Zero-Shot Multi-Label Classification
with: Damen, D.: Dataset for Persistent Multi-target Multi-camera Tracking i...
with: Das, A.: Cloud2Curve: Generation and Vectorization of Parametric Sketc...
with: Dong, M.: Transferring CNNS to multi-instance multi-label classificati...
with: Dong, M.Z.: Dynamic Ensemble Active Learning: A Non-Stationary Bandit ...
with: Dong, Y.: Task-Aware Adaptive Learning for Cross-domain Few-Shot Learn...
with: Du, R.: Task-Aware Adaptive Learning for Cross-domain Few-Shot Learning
with: Du, R.Y.: Erudite Fine-Grained Visual Classification Model, An
with: Du, R.Y.: On-the-Fly Category Discovery
with: Ericsson, L.: How Well Do Self-Supervised Models Transfer?
with: Fu, Y.: Deep Ranking for Image Zero-Shot Multi-Label Classification
with: Fu, Y.W.: Attribute Learning for Understanding Unstructured Social Act...
with: Fu, Y.W.: Interestingness Prediction by Robust Learning to Rank
with: Fu, Y.W.: Learning Multimodal Latent Attributes
with: Fu, Y.W.: Robust Subjective Visual Property Prediction from Crowdsourc...
with: Fu, Y.W.: Simple Feature Augmentation for Domain Generalization, A
with: Fu, Y.W.: Transductive Multi-label Zero-shot Learning
with: Fu, Y.W.: Transductive Multi-view Embedding for Zero-Shot Recognition ...
with: Fu, Y.W.: Transductive Multi-View Zero-Shot Learning
with: Fu, Z.Y.: Transductive Multi-view Embedding for Zero-Shot Recognition ...
with: Gao, B.Y.: Searching for Robustness: Loss Learning for Noisy Classific...
with: Gong, S.G.: Attribute Learning for Understanding Unstructured Social A...
with: Gong, S.G.: Discovery of Shared Semantic Spaces for Multiscene Video Q...
with: Gong, S.G.: Free-hand sketch recognition by multi-kernel feature learn...
with: Gong, S.G.: Free-Hand Sketch Synthesis with Deformable Stroke Models
with: Gong, S.G.: Identifying Rare and Subtle Behaviors: A Weakly Supervised...
with: Gong, S.G.: Interestingness Prediction by Robust Learning to Rank
with: Gong, S.G.: Intra-category sketch-based image retrieval by matching de...
with: Gong, S.G.: Investigating Open-World Person Re-identification Using a ...
with: Gong, S.G.: Learning Multimodal Latent Attributes
with: Gong, S.G.: Learning Rare Behaviours
with: Gong, S.G.: Markov Clustering Topic Model for Mining Behaviour in Vide...
with: Gong, S.G.: Multi-Task Zero-Shot Action Recognition with Prioritised D...
with: Gong, S.G.: Open-world Person Re-Identification by Multi-Label Assignm...
with: Gong, S.G.: Person Re-identification by Attributes
with: Gong, S.G.: Re-id: Hunting Attributes in the Wild
with: Gong, S.G.: Robust Subjective Visual Property Prediction from Crowdsou...
with: Gong, S.G.: Semantic embedding space for zero-shot action recognition
with: Gong, S.G.: Simple Feature Augmentation for Domain Generalization, A
with: Gong, S.G.: Stream-based joint exploration-exploitation active learning
with: Gong, S.G.: Towards Person Identification and Re-identification with A...
with: Gong, S.G.: Transductive Multi-label Zero-shot Learning
with: Gong, S.G.: Transductive Multi-view Embedding for Zero-Shot Recognitio...
with: Gong, S.G.: Transductive Multi-View Zero-Shot Learning
with: Gong, S.G.: Transductive Zero-Shot Action Recognition by Word-Vector E...
with: Gong, S.G.: Unified Bayesian Framework for Adaptive Visual Tracking, A
with: Gong, S.G.: Unifying Theory of Active Discovery and Learning, A
with: Gong, S.G.: Video Behaviour Mining Using a Dynamic Topic Model
with: Gouk, H.: How Well Do Self-Supervised Models Transfer?
with: Gouk, H.: Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
with: Gouk, H.: Quality Diversity for Visual Pre-Training
with: Gouk, H.: Searching for Robustness: Loss Learning for Noisy Classifica...
with: Gouk, H.: Shallow Bayesian Meta Learning for Real-World Few-Shot Recog...
with: Gryaditskaya, Y.: Toward Fine-Grained Sketch-Based 3D Shape Retrieval
with: Guo, J.: Fine-Grained Instance-Level Sketch-Based Video Retrieval
with: Guo, J.: Making better use of edges via perceptual grouping
with: Guo, J.: SketchMate: Deep Hashing for Million-Scale Human Sketch Retri...
with: Guo, L.: Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
with: Guo, Y.R.: Task-Aware Adaptive Learning for Cross-domain Few-Shot Lear...
with: Hall, J.: Dataset for Persistent Multi-target Multi-camera Tracking in...
with: Hannuna, S.: Dataset for Persistent Multi-target Multi-camera Tracking...
with: Hu, C.H.: Sketch-a-Classifier: Sketch-Based Photo Classifier Generation
with: Hu, C.H.: Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation
with: Hu, G.: Frankenstein: Learning Deep Face Representations Using Small D...
with: Hu, G.: When Face Recognition Meets with Deep Learning: An Evaluation ...
with: Hu, G.S.: Attribute-Enhanced Face Recognition with Neural Tensor Fusio...
with: Hu, G.S.: Deep Multi-task Learning to Recognise Subtle Facial Expressi...
with: Hu, G.S.: Differentiable Automatic Data Augmentation
with: Hu, S.X.: Pushing the Limits of Simple Pipelines for Few-Shot Learning...
with: Hu, Y.C.: Fine-Grained Sketch-Based Image Retrieval: The Role of Part-...
with: Hua, Y.: Attribute-Enhanced Face Recognition with Neural Tensor Fusion...
with: Hua, Y.: Deep Multi-task Learning to Recognise Subtle Facial Expressio...
with: Huang, Y.: On Learning Semantic Representations for Large-Scale Abstra...
with: Huang, Y.Y.: SketchMate: Deep Hashing for Million-Scale Human Sketch R...
with: Jaques, M.: NewtonianVAE: Proportional Control and Goal Identification...
with: Ji, Z.: Deep Ranking for Image Zero-Shot Multi-Label Classification
with: Jiang, Y.: Deep Ranking for Image Zero-Shot Multi-Label Classification
with: Kim, M.Y.: Pushing the Limits of Simple Pipelines for Few-Shot Learnin...
with: Kittler, J.V.: When Face Recognition Meets with Deep Learning: An Eval...
with: Kocyigit, M.T.: Accelerating Self-Supervised Learning via Efficient Tr...
with: Kocyigit, M.T.: Unsupervised Batch Normalization
with: Kossaifi, J.: Factorized Higher-Order CNNs With an Application to Spat...
with: Layne, R.: Dataset for Persistent Multi-target Multi-camera Tracking i...
with: Layne, R.: Investigating Open-World Person Re-identification Using a D...
with: Layne, R.: Person Re-identification by Attributes
with: Layne, R.: Re-id: Hunting Attributes in the Wild
with: Layne, R.: Towards Person Identification and Re-identification with At...
with: Li, D.: Deep Factorised Inverse-Sketching
with: Li, D.: Deeper, Broader and Artier Domain Generalization
with: Li, D.: Episodic Training for Domain Generalization
with: Li, D.: Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
with: Li, D.: Online Meta-learning for Multi-source and Semi-supervised Doma...
with: Li, D.: Pushing the Limits of Simple Pipelines for Few-Shot Learning: ...
with: Li, D.: Quality Diversity for Visual Pre-Training
with: Li, D.: Simple Feature Augmentation for Domain Generalization, A
with: Li, D.: Sketch-a-Classifier: Sketch-Based Photo Classifier Generation
with: Li, D.: Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation
with: Li, D.: Uncertainty-Aware Source-Free Domain Adaptive Semantic Segment...
with: Li, D.: Zero-Shot Everything Sketch-Based Image Retrieval, and in Expl...
with: Li, H.: Deep Ranking for Image Zero-Shot Multi-Label Classification
with: Li, J.: Identifying Rare and Subtle Behaviors: A Weakly Supervised Joi...
with: Li, J.: Learning Rare Behaviours
with: Li, K.: Fine-Grained Sketch-Based Image Retrieval: The Role of Part-Aw...
with: Li, K.: Generalising Fine-Grained Sketch-Based Image Retrieval
with: Li, K.: Synergistic Instance-Level Subspace Alignment for Fine-Grained...
with: Li, K.: Toward Deep Universal Sketch Perceptual Grouper
with: Li, K.: Universal Sketch Perceptual Grouping
with: Li, M.K.: Zero-Shot Everything Sketch-Based Image Retrieval, and in Ex...
with: Li, P.: Simple Feature Augmentation for Domain Generalization, A
with: Li, S.Z.: When Face Recognition Meets with Deep Learning: An Evaluatio...
with: Li, W.: Simple Feature Augmentation for Domain Generalization, A
with: Li, X.M.: Cross-Modal Face Matching: Beyond Viewed Sketches
with: Li, X.M.: ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching
with: Li, X.M.: survey on heterogeneous face recognition: Sketch, infra-red,...
with: Li, Y.: Free-hand sketch recognition by multi-kernel feature learning
with: Li, Y.: Free-Hand Sketch Synthesis with Deformable Stroke Models
with: Li, Y.: Intra-category sketch-based image retrieval by matching deform...
with: Li, Y.: Making better use of edges via perceptual grouping
with: Li, Y.G.: Differentiable Automatic Data Augmentation
with: Liang, K.M.: On-the-Fly Category Discovery
with: Lin, F.Y.: Zero-Shot Everything Sketch-Based Image Retrieval, and in E...
with: Liu, C.: Episodic Training for Domain Generalization
with: Liu, F.: Inverse Visual Question Answering: A New Benchmark and VQA Di...
with: Liu, F.: iVQA: Inverse Visual Question Answering
with: Liu, F.: Semantic Regularisation for Recurrent Image Annotation
with: Liu, F.: Sketch Me That Shoe
with: Liu, F.: Sketch-a-Net that Beats Humans
with: Liu, F.: Sketch-a-Net: A Deep Neural Network that Beats Humans
with: Liu, K.: Fine-Grained Instance-Level Sketch-Based Video Retrieval
with: Liu, L.: Deep Multi-task Learning to Recognise Subtle Facial Expressio...
with: Loy, C.C.: Sketch Me That Shoe
with: Loy, C.C.: Stream-based joint exploration-exploitation active learning
with: Loy, C.C.: survey on heterogeneous face recognition: Sketch, infra-red...
with: Lu, H.C.: Deep Mutual Learning
with: Lu, Z.: Attribute-Enhanced Face Recognition with Neural Tensor Fusion ...
with: Lu, Z.: Uncertainty-Aware Source-Free Domain Adaptive Semantic Segment...
with: Ma, Z.Y.: Erudite Fine-Grained Visual Classification Model, An
with: Ma, Z.Y.: Fine-Grained Instance-Level Sketch-Based Video Retrieval
with: Ma, Z.Y.: On-the-Fly Category Discovery
with: Ma, Z.Y.: SketchMate: Deep Hashing for Million-Scale Human Sketch Retr...
with: Ma, Z.Y.: Task-Aware Adaptive Learning for Cross-domain Few-Shot Learn...
with: Meng, D.B.: Shallow Bayesian Meta Learning for Real-World Few-Shot Rec...
with: Micaelli, P.: Meta-Learning in Neural Networks: A Survey
with: Mirmehdi, M.: Dataset for Persistent Multi-target Multi-camera Trackin...
with: Muhammad, U.R.: Goal-Driven Sequential Data Abstraction
with: Muhammad, U.R.: Learning Deep Sketch Abstraction
with: Mukherjee, S.S.: Attribute-Enhanced Face Recognition with Neural Tenso...
with: Ogasawara, T.: Transferring CNNS to multi-instance multi-label classif...
with: Ouyang, S.X.: Cross-Modal Face Matching: Beyond Viewed Sketches
with: Ouyang, S.X.: ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching
with: Ouyang, S.X.: survey on heterogeneous face recognition: Sketch, infra-...
with: Panagakis, Y.: Factorized Higher-Order CNNs With an Application to Spa...
with: Pang, K.: Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Ba...
with: Pang, K.: Transferring CNNS to multi-instance multi-label classificati...
with: Pang, K.K.: Dynamic Ensemble Active Learning: A Non-Stationary Bandit ...
with: Pang, K.Y.: Deep Factorised Inverse-Sketching
with: Pang, K.Y.: Fine-Grained Sketch-Based Image Retrieval: The Role of Par...
with: Pang, K.Y.: Generalising Fine-Grained Sketch-Based Image Retrieval
with: Pang, K.Y.: Learning to Sketch with Shortcut Cycle Consistency
with: Pang, K.Y.: SketchMate: Deep Hashing for Million-Scale Human Sketch Re...
with: Pang, K.Y.: Synergistic Instance-Level Subspace Alignment for Fine-Gra...
with: Pang, K.Y.: Toward Deep Universal Sketch Perceptual Grouper
with: Pang, K.Y.: Universal Sketch Perceptual Grouping
with: Pantic, M.: Factorized Higher-Order CNNs With an Application to Spatio...
with: Peng, X.: Frankenstein: Learning Deep Face Representations Using Small...
with: Perez Rua, J.: Incremental Few-Shot Object Detection
with: Qi, A.: Toward Fine-Grained Sketch-Based 3D Shape Retrieval
with: Qi, Y.G.: Making better use of edges via perceptual grouping
with: Qi, Y.G.: Toward Fine-Grained Sketch-Based 3D Shape Retrieval
with: Qi, Y.G.: Zero-Shot Everything Sketch-Based Image Retrieval, and in Ex...
with: Robertson, N.: Deep Multi-task Learning to Recognise Subtle Facial Exp...
with: Robertson, N.M.: Attribute-Enhanced Face Recognition with Neural Tenso...
with: Robertson, N.M.: Differentiable Automatic Data Augmentation
with: Ruan, X.: Deep Multi-task Attribute-Driven Ranking for Fine-Grained Sk...
with: Sevilla Lara, L.: Unsupervised Batch Normalization
with: Shao, L.: Deep Multi-task Learning to Recognise Subtle Facial Expressi...
with: Shao, L.: Editorial: Special Issue on Machine Vision with Deep Learning
with: Shen, F.M.: Deep Multi-task Learning to Recognise Subtle Facial Expres...
with: Shi, Z.Y.: Bayesian Joint Modelling for Object Localisation in Weakly ...
with: Shi, Z.Y.: Bayesian Joint Topic Modelling for Weakly Supervised Object...
with: Shi, Z.Y.: Transferring a semantic representation for person re-identi...
with: Shi, Z.Y.: Weakly Supervised Learning of Objects, Attributes and Their...
with: Shi, Z.Y.: Weakly-Supervised Image Annotation and Segmentation with Ob...
with: Shum, H.P.H.: Editorial: Special Issue on Machine Vision with Deep Lea...
with: Song, J.: Generalizable Person Re-Identification by Domain-Invariant M...
with: Song, J.F.: Deep Factorised Inverse-Sketching
with: Song, J.F.: Deep Multi-task Attribute-Driven Ranking for Fine-Grained ...
with: Song, J.F.: Deep Spatial-Semantic Attention for Fine-Grained Sketch-Ba...
with: Song, J.F.: Learning to Sketch with Shortcut Cycle Consistency
with: Song, J.F.: Toward Fine-Grained Sketch-Based 3D Shape Retrieval
with: Song, J.F.: Universal Sketch Perceptual Grouping
with: Song, Y.: Episodic Training for Domain Generalization
with: Song, Y.: Learning Deep Sketch Abstraction
with: Song, Y.: Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Ba...
with: Song, Y.Z.: Cloud2Curve: Generation and Vectorization of Parametric Sk...
with: Song, Y.Z.: Cross-Modal Face Matching: Beyond Viewed Sketches
with: Song, Y.Z.: Deep Factorised Inverse-Sketching
with: Song, Y.Z.: Deep Learning for Free-Hand Sketch: A Survey
with: Song, Y.Z.: Deep Multi-task Attribute-Driven Ranking for Fine-Grained ...
with: Song, Y.Z.: Deep Spatial-Semantic Attention for Fine-Grained Sketch-Ba...
with: Song, Y.Z.: Deeper, Broader and Artier Domain Generalization
with: Song, Y.Z.: Erudite Fine-Grained Visual Classification Model, An
with: Song, Y.Z.: Fine-Grained Instance-Level Sketch-Based Video Retrieval
with: Song, Y.Z.: Fine-Grained Sketch-Based Image Retrieval: The Role of Par...
with: Song, Y.Z.: ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching
with: Song, Y.Z.: Free-hand sketch recognition by multi-kernel feature learn...
with: Song, Y.Z.: Free-Hand Sketch Synthesis with Deformable Stroke Models
with: Song, Y.Z.: Generalising Fine-Grained Sketch-Based Image Retrieval
with: Song, Y.Z.: Generalizable Person Re-Identification by Domain-Invariant...
with: Song, Y.Z.: Goal-Driven Sequential Data Abstraction
with: Song, Y.Z.: Intra-category sketch-based image retrieval by matching de...
with: Song, Y.Z.: Learning to Sketch with Shortcut Cycle Consistency
with: Song, Y.Z.: Making better use of edges via perceptual grouping
with: Song, Y.Z.: On Learning Semantic Representations for Large-Scale Abstr...
with: Song, Y.Z.: On-the-Fly Category Discovery
with: Song, Y.Z.: Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based...
with: Song, Y.Z.: Sketch Me That Shoe
with: Song, Y.Z.: Sketch-a-Classifier: Sketch-Based Photo Classifier Generat...
with: Song, Y.Z.: Sketch-a-Net that Beats Humans
with: Song, Y.Z.: Sketch-a-Net: A Deep Neural Network that Beats Humans
with: Song, Y.Z.: Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation
with: Song, Y.Z.: SketchMate: Deep Hashing for Million-Scale Human Sketch Re...
with: Song, Y.Z.: survey on heterogeneous face recognition: Sketch, infra-re...
with: Song, Y.Z.: Synergistic Instance-Level Subspace Alignment for Fine-Gra...
with: Song, Y.Z.: Task-Aware Adaptive Learning for Cross-domain Few-Shot Lea...
with: Song, Y.Z.: Toward Deep Universal Sketch Perceptual Grouper
with: Song, Y.Z.: Toward Fine-Grained Sketch-Based 3D Shape Retrieval
with: Song, Y.Z.: Uncertainty-Aware Source-Free Domain Adaptive Semantic Seg...
with: Song, Y.Z.: Universal Sketch Perceptual Grouping
with: Song, Y.Z.: Vectorization and Rasterization: Self-Supervised Learning ...
with: Song, Y.Z.: Zero-Shot Everything Sketch-Based Image Retrieval, and in ...
with: Storkey, A.: Meta-Learning in Neural Networks: A Survey
with: Stuhmer, J.: Pushing the Limits of Simple Pipelines for Few-Shot Learn...
with: Sun, C.: Semantic Regularisation for Recurrent Image Annotation
with: Sun, C.Y.: Inverse Visual Question Answering: A New Benchmark and VQA ...
with: Sun, C.Y.: iVQA: Inverse Visual Question Answering
with: Sung, F.: Learning to Compare: Relation Network for Few-Shot Learning
with: Tian, Y.B.: Meta Omnium: A Benchmark for General-Purpose Learning-to-L...
with: Toisoul, A.: Factorized Higher-Order CNNs With an Application to Spati...
with: Tong, Y.J.: Erudite Fine-Grained Visual Classification Model, An
with: Torr, P.H.S.: Learning to Compare: Relation Network for Few-Shot Learn...
with: Verbeek, J.: Frankenstein: Learning Deep Face Representations Using Sm...
with: Vijayakumar, S.: Structure Inference for Bayesian Multisensory Scene U...
with: Wang, L.: Deep Learning for Free-Hand Sketch: A Survey
with: Wang, L.: On Learning Semantic Representations for Large-Scale Abstrac...
with: Wang, X.G.: survey on heterogeneous face recognition: Sketch, infra-re...
with: Wang, Y.: Interestingness Prediction by Robust Learning to Rank
with: Wang, Y.: Robust Subjective Visual Property Prediction from Crowdsourc...
with: Wang, Y.T.: Differentiable Automatic Data Augmentation
with: Williams, O.: Adaptive Machine Director, An
with: Wu, Y.: Dynamic Ensemble Active Learning: A Non-Stationary Bandit with...
with: Wu, Y.: Transferring CNNS to multi-instance multi-label classification...
with: Xiang, T.: Attribute Learning for Understanding Unstructured Social Ac...
with: Xiang, T.: Bayesian Joint Modelling for Object Localisation in Weakly ...
with: Xiang, T.: Bayesian Joint Topic Modelling for Weakly Supervised Object...
with: Xiang, T.: Cloud2Curve: Generation and Vectorization of Parametric Ske...
with: Xiang, T.: Dataset for Persistent Multi-target Multi-camera Tracking i...
with: Xiang, T.: Deep Factorised Inverse-Sketching
with: Xiang, T.: Deep Learning for Free-Hand Sketch: A Survey
with: Xiang, T.: Deep Multi-task Attribute-Driven Ranking for Fine-Grained S...
with: Xiang, T.: Deep Mutual Learning
with: Xiang, T.: Deep Ranking for Image Zero-Shot Multi-Label Classification
with: Xiang, T.: Deep Spatial-Semantic Attention for Fine-Grained Sketch-Bas...
with: Xiang, T.: Fine-Grained Instance-Level Sketch-Based Image Retrieval
with: Xiang, T.: Fine-Grained Instance-Level Sketch-Based Video Retrieval
with: Xiang, T.: Generalising Fine-Grained Sketch-Based Image Retrieval
with: Xiang, T.: Generalizable Person Re-Identification by Domain-Invariant ...
with: Xiang, T.: Goal-Driven Sequential Data Abstraction
with: Xiang, T.: Identifying Rare and Subtle Behaviors: A Weakly Supervised ...
with: Xiang, T.: Incremental Few-Shot Object Detection
with: Xiang, T.: Interestingness Prediction by Robust Learning to Rank
with: Xiang, T.: Inverse Visual Question Answering: A New Benchmark and VQA ...
with: Xiang, T.: iVQA: Inverse Visual Question Answering
with: Xiang, T.: Learning Deep Sketch Abstraction
with: Xiang, T.: Learning Multimodal Latent Attributes
with: Xiang, T.: Learning Rare Behaviours
with: Xiang, T.: Learning to Compare: Relation Network for Few-Shot Learning
with: Xiang, T.: Learning to Generate Novel Domains for Domain Generalization
with: Xiang, T.: Learning to Sketch with Shortcut Cycle Consistency
with: Xiang, T.: L_1 Graph Based Sparse Model for Label De-noising
with: Xiang, T.: Making better use of edges via perceptual grouping
with: Xiang, T.: Markov Clustering Topic Model for Mining Behaviour in Video...
with: Xiang, T.: Multi-level Factorisation Net for Person Re-identification
with: Xiang, T.: On Learning Semantic Representations for Large-Scale Abstra...
with: Xiang, T.: Robust Subjective Visual Property Prediction from Crowdsour...
with: Xiang, T.: Scalable and Effective Deep CCA via Soft Decorrelation
with: Xiang, T.: Semantic Regularisation for Recurrent Image Annotation
with: Xiang, T.: Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based ...
with: Xiang, T.: Sketch Me That Shoe
with: Xiang, T.: Sketch-a-Classifier: Sketch-Based Photo Classifier Generation
with: Xiang, T.: Sketch-a-Net that Beats Humans
with: Xiang, T.: Sketch-a-Net: A Deep Neural Network that Beats Humans
with: Xiang, T.: SketchMate: Deep Hashing for Million-Scale Human Sketch Ret...
with: Xiang, T.: Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-B...
with: Xiang, T.: Stream-based joint exploration-exploitation active learning
with: Xiang, T.: Synergistic Instance-Level Subspace Alignment for Fine-Grai...
with: Xiang, T.: Toward Deep Universal Sketch Perceptual Grouper
with: Xiang, T.: Toward Fine-Grained Sketch-Based 3D Shape Retrieval
with: Xiang, T.: Transductive Multi-label Zero-shot Learning
with: Xiang, T.: Transductive Multi-view Embedding for Zero-Shot Recognition...
with: Xiang, T.: Transductive Multi-View Zero-Shot Learning
with: Xiang, T.: Transferring a semantic representation for person re-identi...
with: Xiang, T.: Uncertainty-Aware Source-Free Domain Adaptive Semantic Segm...
with: Xiang, T.: Unified Bayesian Framework for Adaptive Visual Tracking, A
with: Xiang, T.: Unifying Theory of Active Discovery and Learning, A
with: Xiang, T.: Universal Sketch Perceptual Grouping
with: Xiang, T.: Vectorization and Rasterization: Self-Supervised Learning f...
with: Xiang, T.: Video Behaviour Mining Using a Dynamic Topic Model
with: Xiang, T.: Weakly Supervised Learning of Objects, Attributes and Their...
with: Xiang, T.: Weakly-Supervised Image Annotation and Segmentation with Ob...
with: Xiong, J.: Interestingness Prediction by Robust Learning to Rank
with: Xiong, J.: Robust Subjective Visual Property Prediction from Crowdsour...
with: Xu, P.: Deep Learning for Free-Hand Sketch: A Survey
with: Xu, P.: Fine-Grained Instance-Level Sketch-Based Video Retrieval
with: Xu, P.: On Learning Semantic Representations for Large-Scale Abstract ...
with: Xu, P.: SketchMate: Deep Hashing for Million-Scale Human Sketch Retrie...
with: Xu, X.: Discovery of Shared Semantic Spaces for Multiscene Video Query...
with: Xu, X.: Multi-Task Zero-Shot Action Recognition with Prioritised Data ...
with: Xu, X.: Semantic embedding space for zero-shot action recognition
with: Xu, X.: Transductive Zero-Shot Action Recognition by Word-Vector Embed...
with: Xue, J.H.: Transferring CNNS to multi-instance multi-label classificat...
with: Yang, W.: Semantic Regularisation for Recurrent Image Annotation
with: Yang, W.K.: Inverse Visual Question Answering: A New Benchmark and VQA...
with: Yang, W.K.: iVQA: Inverse Visual Question Answering
with: Yang, Y.: Attribute-Enhanced Face Recognition with Neural Tensor Fusio...
with: Yang, Y.: Deeper, Broader and Artier Domain Generalization
with: Yang, Y.: Episodic Training for Domain Generalization
with: Yang, Y.: Frankenstein: Learning Deep Face Representations Using Small...
with: Yang, Y.: Learning Deep Sketch Abstraction
with: Yang, Y.: Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Ba...
with: Yang, Y.: When Face Recognition Meets with Deep Learning: An Evaluatio...
with: Yang, Y.X.: Cloud2Curve: Generation and Vectorization of Parametric Sk...
with: Yang, Y.X.: Deep Multi-task Learning to Recognise Subtle Facial Expres...
with: Yang, Y.X.: Differentiable Automatic Data Augmentation
with: Yang, Y.X.: Generalising Fine-Grained Sketch-Based Image Retrieval
with: Yang, Y.X.: Generalizable Person Re-Identification by Domain-Invariant...
with: Yang, Y.X.: Goal-Driven Sequential Data Abstraction
with: Yang, Y.X.: Learning to Compare: Relation Network for Few-Shot Learning
with: Yang, Y.X.: Learning to Generate Novel Domains for Domain Generalization
with: Yang, Y.X.: Multivariate Regression on the Grassmannian for Predicting...
with: Yang, Y.X.: Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based...
with: Yang, Y.X.: Sketch-a-Net that Beats Humans
with: Yang, Y.X.: Sketch-a-Net: A Deep Neural Network that Beats Humans
with: Yang, Y.X.: Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation
with: Yang, Y.X.: Toward Fine-Grained Sketch-Based 3D Shape Retrieval
with: Yang, Y.X.: Transductive Multi-label Zero-shot Learning
with: Yang, Y.X.: Vectorization and Rasterization: Self-Supervised Learning ...
with: Yang, Y.X.: Weakly Supervised Learning of Objects, Attributes and Thei...
with: Yang, Y.X.: Weakly-Supervised Image Annotation and Segmentation with O...
with: Yang, Y.X.: Zero-Shot Domain Adaptation via Kernel Regression on the G...
with: Yao, Y.: Interestingness Prediction by Robust Learning to Rank
with: Yao, Y.: Robust Subjective Visual Property Prediction from Crowdsource...
with: Yi, D.: When Face Recognition Meets with Deep Learning: An Evaluation ...
with: Yin, Q.Y.: Deep Learning for Free-Hand Sketch: A Survey
with: Yu, Q.: Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based ...
with: Yu, Q.: Sketch Me That Shoe
with: Yu, Q.: Sketch-a-Net that Beats Humans
with: Yu, Q.: Sketch-a-Net: A Deep Neural Network that Beats Humans
with: Yu, Z.: Deep Multi-task Learning to Recognise Subtle Facial Expression...
with: Yuan, T.: On Learning Semantic Representations for Large-Scale Abstrac...
with: Yuan, T.T.: SketchMate: Deep Hashing for Million-Scale Human Sketch Re...
with: Yuan, Y.: Attribute-Enhanced Face Recognition with Neural Tensor Fusio...
with: Yuan, Y.: Deep Multi-task Learning to Recognise Subtle Facial Expressi...
with: Zelniker, E.E.: Unified Bayesian Framework for Adaptive Visual Trackin...
with: Zhang, H.G.: Fine-Grained Sketch-Based Image Retrieval: The Role of Pa...
with: Zhang, H.G.: Generalising Fine-Grained Sketch-Based Image Retrieval
with: Zhang, H.G.: Making better use of edges via perceptual grouping
with: Zhang, H.G.: Synergistic Instance-Level Subspace Alignment for Fine-Gr...
with: Zhang, H.G.: Toward Deep Universal Sketch Perceptual Grouper
with: Zhang, H.G.: Universal Sketch Perceptual Grouping
with: Zhang, J.: Episodic Training for Domain Generalization
with: Zhang, L.: Learning to Compare: Relation Network for Few-Shot Learning
with: Zhang, X.T.: Shallow Bayesian Meta Learning for Real-World Few-Shot Re...
with: Zhang, Y.: Deep Mutual Learning
with: Zhang, Z.: Attribute-Enhanced Face Recognition with Neural Tensor Fusi...
with: Zhang, Z.H.: Deep Multi-task Learning to Recognise Subtle Facial Expre...
with: Zhou, K.Y.: Learning to Generate Novel Domains for Domain Generalization
with: Zhu, X.: Incremental Few-Shot Object Detection
with: Zong, Y.S.: Meta Omnium: A Benchmark for General-Purpose Learning-to-L...
398 for Hospedales, T.M.
Hospedales, T.N.
Standard Author Listing
with: Das, A.: BézierSketch: A Generative Model for Scalable Vector Sketches
with: Song, Y.Z.: BézierSketch: A Generative Model for Scalable Vector Sketc...
with: Xiang, T.: BézierSketch: A Generative Model for Scalable Vector Sketches
with: Yang, Y.X.: BézierSketch: A Generative Model for Scalable Vector Sketc...
Hospital, M.
Standard Author Listing
with: Kasvand, T.: 3D Curve Based Matching Method Using Dynamic Programming
with: Kasvand, T.: Recognition and Positioning of Three-Dimensional Objects ...
with: Richetin, M.: Characterization of Some Drilled Pit Images from Contour...
with: Richetin, M.: Pattern Recognition by Traversal of Connected Components...
with: Saint Marc, P.: Pattern Recognition by Traversal of Connected Componen...
with: Umeyama, S.: 3D Curve Based Matching Method Using Dynamic Programming
with: Umeyama, S.: Recognition and Positioning of Three-Dimensional Objects ...
with: Yamada, H.: 3D Curve Based Matching Method Using Dynamic Programming
8 for Hospital, M.