Queen Mary University of London

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

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. ∙ 30 ∙ 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. ∙ 25 ∙ share

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Conditioning Autoencoder Latent Spaces for Real-Time Timbre Interpolation and Synthesis

We compare standard autoencoder topologies' performances for timbre gene...
01/30/2020 ∙ by Joseph T Colonel, et al. ∙ 21 ∙ 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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Knowledge distillation via adaptive instance normalization

This paper addresses the problem of model compression via knowledge dist...
03/09/2020 ∙ by Jing Yang, et al. ∙ 17 ∙ share

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Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks

An online resource scheduling framework is proposed for minimizing the s...
01/24/2020 ∙ by Feibo Jiang, et al. ∙ 15 ∙ 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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A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation

Action Units (AUs) are geometrically-based atomic facial muscle movement...
04/14/2020 ∙ by Ioanna Ntinou, 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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Weighting NTBEA for Game AI Optimisation

The N-Tuple Bandit Evolutionary Algorithm (NTBEA) has proven very effect...
03/23/2020 ∙ by James Goodman, 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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Boosting Few-Shot Learning With Adaptive Margin Loss

Few-shot learning (FSL) has attracted increasing attention in recent yea...
05/28/2020 ∙ by Aoxue Li, 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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Rolling Horizon Evolutionary Algorithms for General Video Game Playing

Game-playing Evolutionary Algorithms, specifically Rolling Horizon Evolu...
03/27/2020 ∙ by Raluca D. Gaina, 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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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. ∙ 1 ∙ share

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Protecting Sensory Data against Sensitive Inferences

There is growing concern about how personal data are used when users gra...
02/21/2018 ∙ by Mohammad Malekzadeh, et al. ∙ 1 ∙ share

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On Analyzing Self-Driving Networks: A Systems Thinking Approach

The networking field has recently started to incorporate artificial inte...
04/09/2018 ∙ by Touseef Yaqoob, et al. ∙ 1 ∙ 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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Mobile Sensor Data Anonymization

Data from motion sensors such as accelerometers and gyroscopes embedded ...
10/26/2018 ∙ by Mohammad Malekzadeh, 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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Evaluating Generalisation in General Video Game Playing

The General Video Game Artificial Intelligence (GVGAI) competition has b...
05/22/2020 ∙ by Martin Balla, 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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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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