Timothy M. Hospedales

Proceedings of the 38th International Conference on Machine Learning, 2021

Distance-Based Regularisation of Deep Networks for Fine-Tuning.

[BibT_eX]

[DOI]

Massimiliano Pontil

Proceedings of the 9th International Conference on Learning Representations, 2021

Interpreting Knowledge Graph Relation Representation from Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition.

[BibT_eX]

[DOI]

Xueting Zhang

Debin Meng

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Simple Feature Augmentation for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Searching for Robustness: Loss Learning for Noisy Classification Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces.

[BibT_eX]

[DOI]

Miguel Jaques

Michael Burke

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

How Well Do Self-Supervised Models Transfer?

[BibT_eX]

[DOI]

Linus Ericsson

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting.

[BibT_eX]

[DOI]

Ayan Kumar Bhunia

Pinaki Nath Chowdhury

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Cloud2Curve: Generation and Vectorization of Parametric Sketches.

[BibT_eX]

[DOI]

Ayan Das

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Tensor Composition Net for Visual Relationship Prediction.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Defensive Tensorization.

[BibT_eX]

[DOI]

Georgios Tzimiropoulos

Nicholas D. Lane

Maja Pantic

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation.

[BibT_eX]

[DOI]

Chenyang Zhao

Proceedings of the Asian Conference on Machine Learning, 2021

Simple and Effective Stochastic Neural Networks.

[BibT_eX]

[DOI]

Tianyuan Yu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Neural-Symbolic Integration: A Compositional Perspective.

[BibT_eX]

[DOI]

Efthymia Tsamoura

Loizos Michael

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Pixelor: a competitive sketching AI agent. so you think you can sketch?

[BibT_eX]

[DOI]

Yulia Gryaditskaya

ACM Trans. Graph., 2020

Deep Ranking for Image Zero-Shot Multi-Label Classification.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation.

[BibT_eX]

[DOI]

Conghui Hu

IEEE Trans. Image Process., 2020

Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool.

[BibT_eX]

[DOI]

Feng Liu

Wankou Yang

Changyin Sun

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Editorial: Special Issue on Machine Vision with Deep Learning.

[BibT_eX]

[DOI]

Ling Shao

Hubert P. H. Shum

Int. J. Comput. Vis., 2020

Tensor Composition Net for Visual Relationship Prediction.

[BibT_eX]

[DOI]

Yuting Qiang

Yanwen Guo

CoRR, 2020

Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding.

[BibT_eX]

[DOI]

Jiechao Guan

Zhiwu Lu

CoRR, 2020

A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness.

[BibT_eX]

[DOI]

Panagiotis Eustratiadis

CoRR, 2020

On Learning Semantic Representations for Million-Scale Free-Hand Sketches.

[BibT_eX]

[DOI]

Liang Wang

CoRR, 2020

Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows.

[BibT_eX]

[DOI]

CoRR, 2020

Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights.

[BibT_eX]

[DOI]

Linus Ericsson

CoRR, 2020

Flexible Dataset Distillation: Learn Labels Instead of Images.

[BibT_eX]

[DOI]

Ondrej Bohdal

CoRR, 2020

A Probabilistic Framework for Discriminative and Neuro-Symbolic Semi-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Latent Domain Learning with Dynamic Residual Adapters.

[BibT_eX]

[DOI]

Lucas Deecke

Hakan Bilen

CoRR, 2020

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics.

[BibT_eX]

[DOI]

Natalia Díaz Rodríguez

David Filliat

A. E. Eiben

Richard J. Duro

CoRR, 2020

SimpleMKKM: Simple Multiple Kernel K-means.

[BibT_eX]

[DOI]

Xinwang Liu

En Zhu

Jiyuan Liu

Yang Wang

Meng Wang

CoRR, 2020

DADA: Differentiable Automatic Data Augmentation.

[BibT_eX]

[DOI]

Yonggang Li

Yongtao Wang

Yongxing Yang

CoRR, 2020

Unlimited Resolution Image Generation with R2D2-GANs.

[BibT_eX]

[DOI]

Antti Ilari Karjalainen

Jose Vazquez

CoRR, 2020

Online Meta-Critic Learning for Off-Policy Actor-Critic Methods.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Generation of Informative Trajectories for Dynamics System Identification.

[BibT_eX]

[DOI]

Joshua Smith

Michael N. Mistry

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

RelationNet2: Deep Comparison Network for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks<sup>*</sup>.

[BibT_eX]

[DOI]

Antti Ilari Karjalainen

Jose Vazquez

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video.

[BibT_eX]

[DOI]

Miguel Jaques

Michael Burke

Proceedings of the 8th International Conference on Learning Representations, 2020

Diversity and Sparsity: A New Perspective on Index Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Clusteringwith Concrete K-Means.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Clustering for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Index tracking with differentiate asset selection.

[BibT_eX]

[DOI]

Yunpeng Li

Qiuhua Xu

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Learning to Generate Novel Domains for Domain Generalization.

[BibT_eX]

[DOI]

Kaiyang Zhou

Proceedings of the Computer Vision - ECCV 2020, 2020

Sequential Learning for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Differentiable Automatic Data Augmentation.

[BibT_eX]

[DOI]

Yonggang Li

Yongtao Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

Online Meta-learning for Multi-source and Semi-supervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-identification.

[BibT_eX]

[DOI]

Xiao Gong

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

BézierSketch: A Generative Model for Scalable Vector Sketches.

[BibT_eX]

[DOI]

Ayan Das

Proceedings of the Computer Vision - ECCV 2020, 2020

Incremental Few-Shot Object Detection.

[BibT_eX]

[DOI]

Juan-Manuel Pérez-Rúa

Xiatian Zhu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation.

[BibT_eX]

[DOI]

Maja Pantic

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Unsupervised Batch Normalization.

[BibT_eX]

[DOI]

Mustafa Taha Koçyigit

Laura Sevilla-Lara

Hakan Bilen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval.

[BibT_eX]

[DOI]

Ayan Kumar Bhunia

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ALBA: Reinforcement Learning for Video Object Segmentation.

[BibT_eX]

[DOI]

Shreyank N. Gowda

Panagiotis Eustratiadis

Laura Sevilla-Lara

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Deep Domain-Adversarial Image Generation for Domain Generalisation.

[BibT_eX]

[DOI]

Kaiyang Zhou

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach.

[BibT_eX]

[DOI]

Bowei Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Toward Deep Universal Sketch Perceptual Grouper.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Deep clustering with concrete k-means.

[BibT_eX]

[DOI]

CoRR, 2019

On Understanding Knowledge Graph Representation.

[BibT_eX]

[DOI]

CoRR, 2019

Zero-Shot Crowd Behavior Recognition.

[BibT_eX]

[DOI]

CoRR, 2019

Measuring the Transferability of Adversarial Examples.

[BibT_eX]

[DOI]

Deyan Petrov

CoRR, 2019

Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video.

[BibT_eX]

[DOI]

Miguel Jaques

Michael Burke

CoRR, 2019

Investigating Generalisation in Continuous Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Chenyang Zhao

Olivier Sigaud

Freek Stulp

CoRR, 2019

Multi-relational Poincaré Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

What the Vec? Towards Probabilistically Grounded Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning-driven Coarse-to-Fine Articulated Robot Tracking.

[BibT_eX]

[DOI]

Christian Rauch

Vladimir Ivan

Jamie Shotton

Maurice F. Fallon

Proceedings of the International Conference on Robotics and Automation, 2019

Feature-Critic Networks for Heterogeneous Domain Generalization.

[BibT_eX]

[DOI]

Yiying Li

Wei Zhou

Proceedings of the 36th International Conference on Machine Learning, 2019

Analogies Explained: Towards Understanding Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Modelling the Single Word to Multi-Word Transition Using Matrix Completion.

[BibT_eX]

[DOI]

Gabriella Pizzuto

Olga Capirci

Angelo Cangelosi

Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

Robust Person Re-Identification by Modelling Feature Uncertainty.

[BibT_eX]

[DOI]

Tianyuan Yu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Goal-Driven Sequential Data Abstraction.

[BibT_eX]

[DOI]

Umar Riaz Muhammad

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Episodic Training for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Hypernetwork Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

TuckER: Tensor Factorization for Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generalizable Person Re-Identification by Domain-Invariant Mapping Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Generalising Fine-Grained Sketch-Based Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice.

[BibT_eX]

[DOI]

Jieru Jia

Qiuqi Ruan

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Disjoint Label Space Transfer Learning with Common Factorised Space.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Frankenstein: Learning Deep Face Representations Using Small Data.

[BibT_eX]

[DOI]

Xiaojiang Peng

Jakob Verbeek

IEEE Trans. Image Process., 2018

Open-Ended Learning: A Conceptual Framework Based on Representational Redescription.

[BibT_eX]

[DOI]

Stéphane Doncieux

David Filliat

Natalia Díaz Rodríguez

Frontiers Neurorobotics, 2018

Deep Comparison: Relation Columns for Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Generative Adversarial Policy Networks for Behavioural Repertoire.

[BibT_eX]

[DOI]

Stéphane Doncieux

CoRR, 2018

Universal Perceptual Grouping.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Neural Decision Trees.

[BibT_eX]

[DOI]

Irene Garcia Morillo

CoRR, 2018

Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Kunkun Pang

Mingzhi Dong

Yang Wu

CoRR, 2018

IEEE Access Special Section Editorial: Recent Advantages of Computer Vision.

[BibT_eX]

[DOI]

Zhanyu Ma

Haibin Ling

Wei Jia

Yuxin Peng

Aili Han

IEEE Access, 2018

Visual Articulated Tracking in the Presence of Occlusions.

[BibT_eX]

[DOI]

Christian Rauch

Jamie Shotton

Maurice F. Fallon

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice.

[BibT_eX]

[DOI]

Kunkun Pang

Mingzhi Dong

Yang Wu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions.

[BibT_eX]

[DOI]

Qiangwei Miemie

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Unsupervised Word Translations Without Adversaries.

[BibT_eX]

[DOI]

Tanmoy Mukherjee

Makoto Yamada

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Deep Factorised Inverse-Sketching.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Universal Sketch Perceptual Grouping.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Mutual Learning.

[BibT_eX]

[DOI]

Ying Zhang

Huchuan Lu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning to Compare: Relation Network for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning to Sketch With Shortcut Cycle Consistency.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Deep Sketch Abstraction.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

IVQA: Inverse Visual Question Answering.

[BibT_eX]

[DOI]

Feng Liu

Wankou Yang

Changyin Sun

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Sketch-a-Classifier: Sketch-Based Photo Classifier Generation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Scalable and Effective Deep CCA via Soft Decorrelation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multi-Level Factorisation Net for Person Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval.

[BibT_eX]

[DOI]

Zhanyu Ma

Jun Guo

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning to Generalize: Meta-Learning for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Unifying Multi-domain Multitask Learning: Tensor and Neural Network Perspectives.

[BibT_eX]

[DOI]

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval.

[BibT_eX]

[DOI]

Ke Li

IEEE Trans. Image Process., 2017

Discovery of Shared Semantic Spaces for Multiscene Video Query and Summarization.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2017

Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Sketch-a-Net: A Deep Neural Network that Beats Humans.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2017

Transductive Zero-Shot Action Recognition by Word-Vector Embedding.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2017

Free-Hand Sketch Synthesis with Deformable Stroke Models.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2017

The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Matching Autoencoders.

[BibT_eX]

[DOI]

Tanmoy Mukherjee

Makoto Yamada

CoRR, 2017

Actor-Critic Sequence Training for Image Captioning.

[BibT_eX]

[DOI]

CoRR, 2017

Learning to Learn: Meta-Critic Networks for Sample Efficient Learning.

[BibT_eX]

[DOI]

Flood Sung

Li Zhang

CoRR, 2017

Deep Multi-View Learning with Stochastic Decorrelation Loss.

[BibT_eX]

[DOI]

CoRR, 2017

Tensor Based Knowledge Transfer Across Skill Categories for Robot Control.

[BibT_eX]

[DOI]

Chenyang Zhao

Freek Stulp

Olivier Sigaud

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Trace Norm Regularised Deep Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Deep Multi-task Representation Learning: A Tensor Factorisation Approach.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Transferring CNNS to multi-instance multi-label classification on small datasets.

[BibT_eX]

[DOI]

Tsukasa Ogasawara

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Deeper, Broader and Artier Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Semantic Regularisation for Recurrent Image Annotation.

[BibT_eX]

[DOI]

Feng Liu

Wankou Yang

Changyin Sun

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D.

[BibT_eX]

[DOI]

Majid Mirmehdi

Dima Damen

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Fine-Grained Image Retrieval: the Text/Sketch Input Dilemma.

[BibT_eX]

[DOI]

Jifei Song

Tony Xiang

Proceedings of the British Machine Vision Conference 2017, 2017

Cross-domain Generative Learning for Fine-Grained Sketch-Based Image Retrieval.

[BibT_eX]

[DOI]

Tony Xiang

Proceedings of the British Machine Vision Conference 2017, 2017

Now You See Me: Deep Face Hallucination for Unviewed Sketches.

[BibT_eX]

[DOI]

Conghui Hu

Proceedings of the British Machine Vision Conference 2017, 2017

Gated Neural Networks for Option Pricing: Rationality by Design.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Zero-Shot Crowd Behavior Recognition.

[BibT_eX]

[DOI]

Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

2016

Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution.

[BibT_eX]

[DOI]

Image Vis. Comput., 2016

When and where to transfer for Bayesian network parameter learning.

[BibT_eX]

[DOI]

Yun Zhou

Norman E. Fenton

Expert Syst. Appl., 2016

Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives.

[BibT_eX]

[DOI]

CoRR, 2016

Fine-grained sketch-based image retrieval: The role of part-aware attributes.

[BibT_eX]

[DOI]

Ke Li

Yichuan Hu

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Emerging Topics in Learning from Noisy and Missing Data.

[BibT_eX]

[DOI]

Xavier Alameda-Pineda

Elisa Ricci

Nicu Sebe

Xiaogang Wang

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition.

[BibT_eX]

[DOI]

Tanmoy Mukherjee

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Towards Bottom-Up Analysis of Social Food.

[BibT_eX]

[DOI]

Jaclyn Rich

Hamed Haddadi

Proceedings of the 6th International Conference on Digital Health Conference, 2016

Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Sketch Me That Shoe.

[BibT_eX]

[DOI]

Chen Change Loy

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Multivariate Regression on the Grassmannian for Predicting Novel Domains.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching.

[BibT_eX]

[DOI]

Xueming Li

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval.

[BibT_eX]

[DOI]

Jifei Song

Xiang Ruan

Proceedings of the British Machine Vision Conference 2016, 2016

L1 Graph Based Sparse Model for Label De-noising.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Transductive Multi-View Zero-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Free-hand sketch recognition by multi-kernel feature learning.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2015

Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian.

[BibT_eX]

[DOI]

CoRR, 2015

Deep Neural Networks for Sketch Recognition.

[BibT_eX]

[DOI]

CoRR, 2015

A Unified Perspective on Multi-Domain and Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Learning Representations, 2015

Zero-Shot Action Recognition by Word-Vector Embedding.

[BibT_eX]

[DOI]

CoRR, 2015

Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization.

[BibT_eX]

[DOI]

CoRR, 2015

Transductive Multi-class and Multi-label Zero-shot Learning.

[BibT_eX]

[DOI]

CoRR, 2015

Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints.

[BibT_eX]

[DOI]

Yun Zhou

Norman E. Fenton

Martin Neil

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Semantic embedding space for zero-shot action recognition.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Transferring a semantic representation for person re-identification and search.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Making better use of edges via perceptual grouping.

[BibT_eX]

[DOI]

Jun Guo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Sketch-a-Net that Beats Humans.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Attributes-Based Re-identification.

[BibT_eX]

[DOI]

Proceedings of the Person Re-Identification, 2014

The Re-identification Challenge.

[BibT_eX]

[DOI]

Marco Cristani

Chen Change Loy

Proceedings of the Person Re-Identification, 2014

Learning Multimodal Latent Attributes.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution.

[BibT_eX]

[DOI]

Xueming Li

CoRR, 2014

Weakly Supervised Learning of Objects, Attributes and Their Associations.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Investigating Open-World Person Re-identification Using a Drone.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Interestingness Prediction by Robust Learning to Rank.

[BibT_eX]

[DOI]

Yuan Yao

Proceedings of the Computer Vision - ECCV 2014, 2014

Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation.

[BibT_eX]

[DOI]

Zhen-Yong Fu

Proceedings of the Computer Vision - ECCV 2014, 2014

Intra-category sketch-based image retrieval by matching deformable part models.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2014

Re-id: Hunting Attributes in the Wild.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2014

Transductive Multi-label Zero-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2014

Open-world Person Re-Identification by Multi-Label Assignment Inference.

[BibT_eX]

[DOI]

Brais Cancela

Proceedings of the British Machine Vision Conference, 2014

Cross-Modal Face Matching: Beyond Viewed Sketches.

[BibT_eX]

[DOI]

Xueming Li

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Finding Rare Classes: Active Learning with Generative and Discriminative Models.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2013

Cross-domain traffic scene understanding by motion model transfer.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream, 2013

Domain transfer for person re-identification.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream, 2013

Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Video Behaviour Mining Using a Dynamic Topic Model.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2012

Towards Person Identification and Re-identification with Attributes.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

A Unifying Theory of Active Discovery and Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

Attribute Learning for Understanding Unstructured Social Activity.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

Stream-based joint exploration-exploitation active learning.

[BibT_eX]

[DOI]

Chen Change Loy

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Person Re-identification by Attributes.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2012

2011

Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model.

[BibT_eX]

[DOI]

Jian Li

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Learning Tags from Unsegmented Videos of Multiple Human Actions.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Learning Rare Behaviours.

[BibT_eX]

[DOI]

Jian Li

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

A Markov Clustering Topic Model for mining behaviour in video.

[BibT_eX]

[DOI]

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

A Unified Bayesian Framework for Adaptive Visual Tracking.

[BibT_eX]

[DOI]

Emanuel Zelniker

Proceedings of the British Machine Vision Conference, 2009

2008

Bayesian multisensory perception.

[BibT_eX]

[DOI]

PhD thesis, 2008

Structure Inference for Bayesian Multisensory Scene Understanding.

[BibT_eX]

[DOI]

Sethu Vijayakumar

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Implications of Noise and Neural Heterogeneity for Vestibulo-Ocular Reflex Fidelity.

[BibT_eX]

[DOI]

Mark C. W. van Rossum

Bruce P. Graham

Mayank B. Dutia

Neural Comput., 2008

An Adaptive Machine Director.

[BibT_eX]

[DOI]

Oliver Williams

Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

2007

Structure Inference for Bayesian Multisensory Perception and Tracking.

[BibT_eX]

[DOI]