Queen Mary University of London

∙ London , United Kingdom ∙ 0 followers

Queen Mary University of London is a public research university in London, England, and a constituent college of the federal University of London.

Featured Researchers

Wei Li
101 publications
Li Zhang
64 publications
Tao Xiang
57 publications
Yi Li
54 publications
Shaogang Gong
50 publications
Peng Xu
48 publications
Yanwei Fu
45 publications
Xiangyang Xue
44 publications
Feng Liu
41 publications
Timothy M. Hospedales
40 publications
Xiatian Zhu
35 publications

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study

Background: The trend towards large-scale studies including population i...
01/27/2019 ∙ by Robert Robinson, et al. ∙ 38 ∙ share

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Privacy-Preserving Bandits

Contextual bandit algorithms (CBAs) often rely on personal data to provi...
09/10/2019 ∙ by Mohammad Malekzadeh, et al. ∙ 29 ∙ share

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Privacy and Utility Preserving Sensor-Data Transformations

Sensitive inferences and user re-identification are major threats to pri...
11/14/2019 ∙ by Mohammad Malekzadeh, et al. ∙ 24 ∙ share

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Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best

This paper introduces a simple and fast variant of Planet Wars as a test...
01/03/2019 ∙ by Simon M. Lucas, et al. ∙ 20 ∙ share

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GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis

Histopathological cancer diagnosis is based on visual examination of sta...
01/13/2019 ∙ by Zhaoyang Xu, et al. ∙ 20 ∙ share

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Intra-Camera Supervised Person Re-Identification: A New Benchmark

Existing person re-identification (re-id) methods rely mostly on a large...
08/27/2019 ∙ by Xiangping Zhu, et al. ∙ 14 ∙ share

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Deep Reinforcement Learning for General Video Game AI

The General Video Game AI (GVGAI) competition and its associated softwar...
06/06/2018 ∙ by Ruben Rodriguez Torrado, et al. ∙ 12 ∙ share

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Episodic Training for Domain Generalization

Domain generalization (DG) is the challenging and topical problem of lea...
01/31/2019 ∙ by Da Li, et al. ∙ 10 ∙ share

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Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor

Game-based benchmarks have been playing an essential role in the develop...
04/03/2019 ∙ by Ivan Bravi, et al. ∙ 10 ∙ share

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A Topology Layer for Machine Learning

Topology applied to real world data using persistent homology has starte...
05/29/2019 ∙ by Rickard Brüel Gabrielsson, et al. ∙ 9 ∙ share

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Universal Perceptual Grouping

In this work we aim to develop a universal sketch grouper. That is, a gr...
08/07/2018 ∙ by Ke Li, et al. ∙ 8 ∙ share

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Generative Design in Minecraft: Chronicle Challenge

We introduce the Chronicle Challenge as an optional addition to the Sett...
05/14/2019 ∙ by Christoph Salge, et al. ∙ 7 ∙ share

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Face-Focused Cross-Stream Network for Deception Detection in Videos

Automated deception detection (ADD) from real-life videos is a challengi...
12/11/2018 ∙ by Mingyu Ding, et al. ∙ 6 ∙ share

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Universal Person Re-Identification

Most state-of-the-art person re-identification (re-id) methods depend on...
07/22/2019 ∙ by Xu Lan, et al. ∙ 6 ∙ share

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Project Thyia: A Forever Gameplayer

The space of Artificial Intelligence entities is dominated by conversati...
06/10/2019 ∙ by Raluca D. Gaina, et al. ∙ 5 ∙ share

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Characteristic Regularisation for Super-Resolving Face Images

Existing facial image super-resolution (SR) methods focus mostly on impr...
12/30/2019 ∙ by Zhiyi Cheng, et al. ∙ 5 ∙ share

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Person Re-Identification in Identity Regression Space

Most existing person re-identification (re-id) methods are unsuitable fo...
06/25/2018 ∙ by Hanxiao Wang, et al. ∙ 4 ∙ share

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Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures

Cameras mounted on Micro Aerial Vehicles (MAVs) are increasingly used fo...
10/29/2018 ∙ by Omair Sarwar, et al. ∙ 4 ∙ share

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Unsupervised Tracklet Person Re-Identification

Most existing person re-identification (re-id) methods rely on supervise...
03/01/2019 ∙ by Minxian Li, et al. ∙ 4 ∙ share

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Zero-Shot Crowd Behavior Recognition

Understanding crowd behavior in video is challenging for computer vision...
08/16/2019 ∙ by Xun Xu, et al. ∙ 4 ∙ share

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FIVR: Fine-grained Incident Video Retrieval

This paper introduces the problem of Fine-grained Incident Video Retriev...
09/11/2018 ∙ by Giorgos Kordopatis-Zilos, et al. ∙ 2 ∙ share

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Disjoint Label Space Transfer Learning with Common Factorised Space

In this paper, a unified approach is presented to transfer learning that...
12/06/2018 ∙ by Xiaobin Chang, et al. ∙ 2 ∙ share

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ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning

In this paper we introduce ViSiL, a Video Similarity Learning architectu...
08/20/2019 ∙ by Giorgos Kordopatis-Zilos, et al. ∙ 2 ∙ share

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Surveillance Face Recognition Challenge

Face recognition (FR) is one of the most extensively investigated proble...
04/25/2018 ∙ by Zhiyi Cheng, et al. ∙ 1 ∙ share

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Ensemble Decision Systems for General Video Game Playing

Ensemble Decision Systems offer a unique form of decision making that al...
05/26/2019 ∙ by Damien Anderson, et al. ∙ 1 ∙ share

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Finding Shortest Paths between Graph Colourings

The k-colouring reconfiguration problem asks whether, for a given graph ...
03/25/2014 ∙ by Matthew Johnson, et al. ∙ 0 ∙ share

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Class Rectification Hard Mining for Imbalanced Deep Learning

Recognising detailed facial or clothing attributes in images of people i...
12/08/2017 ∙ by Qi Dong, et al. ∙ 0 ∙ share

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Interactive Robot Learning of Gestures, Language and Affordances

A growing field in robotics and Artificial Intelligence (AI) research is...
11/24/2017 ∙ by Giovanni Saponaro, et al. ∙ 0 ∙ share

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Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm

The compact genetic algorithm is an Estimation of Distribution Algorithm...
08/07/2017 ∙ by Simon M. Lucas, et al. ∙ 0 ∙ share

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Modeling Musical Context with Word2vec

We present a semantic vector space model for capturing complex polyphoni...
06/28/2017 ∙ by Dorien Herremans, et al. ∙ 0 ∙ share

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

Many vision problems require matching images of object instances across ...
11/22/2017 ∙ by Qian Yu, et al. ∙ 0 ∙ share

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Learning to Compare: Relation Network for Few-Shot Learning

We present a conceptually simple, flexible, and general framework for fe...
11/16/2017 ∙ by Flood Sung, et al. ∙ 0 ∙ share

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Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis

An increasing number of sensors on mobile, Internet of things (IoT), and...
10/18/2017 ∙ by Mohammad Malekzadeh, et al. ∙ 0 ∙ share

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Human-level CMR image analysis with deep fully convolutional networks

Cardiovascular magnetic resonance (CMR) imaging is a standard imaging mo...
10/25/2017 ∙ by Wenjia Bai, et al. ∙ 0 ∙ share

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Clinical Text Prediction with Numerically Grounded Conditional Language Models

Assisted text input techniques can save time and effort and improve text...
10/20/2016 ∙ by Georgios P. Spithourakis, et al. ∙ 0 ∙ share

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iVQA: Inverse Visual Question Answering

In recent years, visual question answering (VQA) has become topical as a...
10/10/2017 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Deeper, Broader and Artier Domain Generalization

The problem of domain generalization is to learn from multiple training ...
10/09/2017 ∙ by Da Li, et al. ∙ 0 ∙ share

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Convolutional Recurrent Neural Networks for Music Classification

We introduce a convolutional recurrent neural network (CRNN) for music t...
09/14/2016 ∙ by Keunwoo Choi, et al. ∙ 0 ∙ share

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Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning

Sketch portrait generation benefits a wide range of applications such as...
10/04/2017 ∙ by Dongyu Zhang, et al. ∙ 0 ∙ share

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Automatic Environmental Sound Recognition: Performance versus Computational Cost

In the context of the Internet of Things (IoT), sound sensing applicatio...
07/15/2016 ∙ by Siddharth Sigtia, et al. ∙ 0 ∙ share

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Attribute Recognition by Joint Recurrent Learning of Context and Correlation

Recognising semantic pedestrian attributes in surveillance images is a c...
09/25/2017 ∙ by Jingya Wang, et al. ∙ 0 ∙ share

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Multi-scale Deep Learning Architectures for Person Re-identification

Person Re-identification (re-id) aims to match people across non-overlap...
09/15/2017 ∙ by Xuelin Qian, et al. ∙ 0 ∙ share

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A Tutorial on Deep Learning for Music Information Retrieval

Following their success in Computer Vision and other areas, deep learnin...
09/13/2017 ∙ by Keunwoo Choi, et al. ∙ 0 ∙ share

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Learning to Generate Genotypes with Neural Networks

Neural networks and evolutionary computation have a rich intertwined his...
04/14/2016 ∙ by Alexander W. Churchill, et al. ∙ 0 ∙ share

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A Comparison on Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging

Deep neural networks (DNN) have been successfully applied for music clas...
09/06/2017 ∙ by Keunwoo Choi, et al. ∙ 0 ∙ share

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Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation

Large-scale image annotation is a challenging task in image content anal...
09/05/2017 ∙ by Yulei Niu, et al. ∙ 0 ∙ share

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Person Re-Identification by Deep Joint Learning of Multi-Loss Classification

Existing person re-identification (re-id) methods rely mostly on either ...
05/12/2017 ∙ by Wei Li, et al. ∙ 0 ∙ share

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Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning

Deep compositional models of meaning acting on distributional representa...
08/10/2015 ∙ by Jianpeng Cheng, et al. ∙ 0 ∙ share

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

Deep learning, in particular Convolutional Neural Network (CNN), has ach...
04/09/2015 ∙ by Guosheng Hu, et al. ∙ 0 ∙ share

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Deep Multi-View Learning with Stochastic Decorrelation Loss

Multi-view learning aims to learn an embedding space where multiple view...
07/30/2017 ∙ by Xiaobin Chang, et al. ∙ 0 ∙ share

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