The University of Nottingham

∙ Nottingham , United Kingdom ∙ 0 followers

The University of Nottingham shares many of the characteristics of the world's great universities. However, they are distinct not only in their key strengths but in how their many strengths combine: they are financially secure, campus based and comprehensive; they are research-led and recruit top students and staff from around the world; they are committed to internationalising all their core activities so their students can have a valuable and enjoyable experience that prepares them well for the rest of their intellectual, professional and personal lives.

MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation

Predicting depth from a single image is an attractive research topic sin...
06/27/2020 ∙ by Jun Liu, et al. ∙ 69 ∙ share

read it
PoseGAN: A Pose-to-Image Translation Framework for Camera Localization

Camera localization is a fundamental requirement in robotics and compute...
06/23/2020 ∙ by Kanglin Liu, et al. ∙ 37 ∙ share

read it
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

read it
Triple consistency loss for pairing distributions in GAN-based face synthesis

Generative Adversarial Networks have shown impressive results for the ta...
11/08/2018 ∙ by Enrique Sanchez, et al. ∙ 12 ∙ share

read it
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

read it
A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity

This paper presents a novel meta learning framework for feature selectio...
05/20/2020 ∙ by Zixiao Shen, et al. ∙ 10 ∙ share

read it
Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems using Feature Importance Fusion

When machine learning supports decision-making in safety-critical system...
09/11/2020 ∙ by Divish Rengasamy, et al. ∙ 10 ∙ share

read it
A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets

In this paper, we propose a novel weighted combination feature selection...
05/11/2020 ∙ by Zixiao Shen, et al. ∙ 8 ∙ share

read it
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces

Being heavily reliant on animals, it is our ethical obligation to improv...
09/11/2019 ∙ by Muhammad Haris Khan, et al. ∙ 7 ∙ share

read it
Performance Optimization of a Fuzzy Entropy based Feature Selection and Classification Framework

In this paper, based on a fuzzy entropy feature selection framework, dif...
05/11/2020 ∙ by Zixiao Shen, et al. ∙ 6 ∙ share

read it
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise

This paper proposes a new model based on Fuzzy k-Nearest Neighbors for c...
03/05/2020 ∙ by Sergio González, et al. ∙ 5 ∙ share

read it
Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks

A wide range of techniques can be considered for segmentation of images ...
08/27/2020 ∙ by Steff Farley, et al. ∙ 5 ∙ share

read it
Zero-shot keyword spotting for visual speech recognition in-the-wild

Visual keyword spotting (KWS) is the problem of estimating whether a tex...
07/23/2018 ∙ by Themos Stafylakis, et al. ∙ 2 ∙ share

read it
OCT segmentation: Integrating open parametric contour model of the retinal layers and shape constraint to the Mumford-Shah functional

In this paper, we propose a novel retinal layer boundary model for segme...
08/08/2018 ∙ by Jinming Duan, et al. ∙ 2 ∙ share

read it
3D Human Body Reconstruction from a Single Image via Volumetric Regression

This paper proposes the use of an end-to-end Convolutional Neural Networ...
09/11/2018 ∙ by Aaron S. Jackson, et al. ∙ 2 ∙ share

read it
Populations can be essential in tracking dynamic optima

Real-world optimisation problems are often dynamic. Previously good solu...
07/12/2016 ∙ by Duc-Cuong Dang, et al. ∙ 0 ∙ share

read it
Self-adaptation of Mutation Rates in Non-elitist Populations

The runtime of evolutionary algorithms (EAs) depends critically on their...
06/17/2016 ∙ by Duc-Cuong Dang, et al. ∙ 0 ∙ share

read it
Augmented Neural Networks for Modelling Consumer Indebtness

Consumer Debt has risen to be an important problem of modern societies, ...
09/03/2014 ∙ by Alexandros Ladas, et al. ∙ 0 ∙ share

read it
Image Companding and Inverse Halftoning using Deep Convolutional Neural Networks

In this paper, we introduce deep learning technology to tackle two tradi...
07/01/2017 ∙ by Xianxu Hou, et al. ∙ 0 ∙ share

read it
A Parameterized Complexity Analysis of Bi-level Optimisation with Evolutionary Algorithms

Bi-level optimisation problems have gained increasing interest in the fi...
01/09/2014 ∙ by Dogan Corus, et al. ∙ 0 ∙ share

read it
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

Our goal is to design architectures that retain the groundbreaking perfo...
03/02/2017 ∙ by Adrian Bulat, et al. ∙ 0 ∙ share

read it
Exploring Differences in Interpretation of Words Essential in Medical Expert-Patient Communication

In the context of cancer treatment and surgery, quality of life assessme...
07/21/2016 ∙ by Javier Navarro, et al. ∙ 0 ∙ share

read it
Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation

Fuzzy Rule-Based Classification Systems (FRBCSs) have the potential to p...
07/21/2016 ∙ by Javier Navarro, et al. ∙ 0 ∙ share

read it
Juxtaposition of System Dynamics and Agent-based Simulation for a Case Study in Immunosenescence

Advances in healthcare and in the quality of life significantly increase...
07/20/2016 ∙ by Grazziela P. Figueredo, et al. ∙ 0 ∙ share

read it
Identifying Candidate Risk Factors for Prescription Drug Side Effects using Causal Contrast Set Mining

Big longitudinal observational databases present the opportunity to extr...
07/20/2016 ∙ by Jenna Reps, et al. ∙ 0 ∙ share

read it
Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression

3D face reconstruction is a fundamental Computer Vision problem of extra...
03/22/2017 ∙ by Aaron S. Jackson, et al. ∙ 0 ∙ share

read it
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

This paper investigates how far a very deep neural network is from attai...
03/21/2017 ∙ by Adrian Bulat, et al. ∙ 0 ∙ share

read it
Combining Residual Networks with LSTMs for Lipreading

We propose an end-to-end deep learning architecture for word-level visua...
03/12/2017 ∙ by Themos Stafylakis, et al. ∙ 0 ∙ share

read it
Random Forest for Label Ranking

Label ranking aims to learn a mapping from instances to rankings over a ...
08/27/2016 ∙ by Yangming Zhou, et al. ∙ 0 ∙ share

read it
Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation

Automatic continuous time, continuous value assessment of a patient's pa...
01/17/2017 ∙ by Joy Egede, et al. ∙ 0 ∙ share

read it
A Fuzzy Directional Distance Measure

The measure of distance between two fuzzy sets is a fundamental tool wit...
09/03/2014 ∙ by Josie C. McCullochy, et al. ∙ 0 ∙ share

read it
Two-stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge

This paper describes our submission to the 1st 3D Face Alignment in the ...
09/29/2016 ∙ by Adrian Bulat, et al. ∙ 0 ∙ share

read it
Human pose estimation via Convolutional Part Heatmap Regression

This paper is on human pose estimation using Convolutional Neural Networ...
09/06/2016 ∙ by Adrian Bulat, et al. ∙ 0 ∙ share

read it
Exploring Programmable Self-Assembly in Non-DNA based Molecular Computing

Self-assembly is a phenomenon observed in nature at all scales where aut...
09/25/2013 ∙ by German Terrazas, et al. ∙ 0 ∙ share

read it
Measuring the Directional Distance Between Fuzzy Sets

The measure of distance between two fuzzy sets is a fundamental tool wit...
08/23/2013 ∙ by Josie McCulloch, et al. ∙ 0 ∙ share

read it
Extending Similarity Measures of Interval Type-2 Fuzzy Sets to General Type-2 Fuzzy Sets

Similarity measures provide one of the core tools that enable reasoning ...
08/23/2013 ∙ by Josie McCulloch, et al. ∙ 0 ∙ share

read it
Cascaded Continuous Regression for Real-time Incremental Face Tracking

This paper introduces a novel real-time algorithm for facial landmark tr...
08/03/2016 ∙ by Enrique Sánchez-Lozano, et al. ∙ 0 ∙ share

read it
Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images

We consider the problem of scale detection in images where a region of i...
02/27/2016 ∙ by Luca Calatroni, et al. ∙ 0 ∙ share

read it
Ensemble-marginalized Kalman filter for linear time-dependent PDEs with noisy boundary conditions: Application to heat transfer in building walls

In this work, we present the ensemble-marginalized Kalman filter (EnMKF)...
11/26/2017 ∙ by Marco Iglesias, et al. ∙ 0 ∙ share

read it
Bayes factors for partially observed stochastic epidemic models

We consider the problem of model choice for stochastic epidemic models g...
10/13/2017 ∙ by Muteb Alharthi, et al. ∙ 0 ∙ share

read it
The extended power distribution: A new distribution on (0, 1)

We propose a two-parameter bounded probability distribution called the e...
11/08/2017 ∙ by Chibueze E. Ogbonnaya, et al. ∙ 0 ∙ share

read it
Two-Stage Stochastic International Portfolio Optimisation under Regular-Vine-Copula-Based Scenarios

In this paper, we present a two-stage stochastic international portfolio...
04/04/2017 ∙ by Nonthachote Chatsanga, et al. ∙ 0 ∙ share

read it
Smoothing splines on Riemannian manifolds, with applications to 3D shape space

There has been increasing interest in statistical analysis of data lying...
01/15/2018 ∙ by Kwang-Rae Kim, et al. ∙ 0 ∙ share

read it
End-to-end Audiovisual Speech Recognition

Several end-to-end deep learning approaches have been recently presented...
02/18/2018 ∙ by Stavros Petridis, et al. ∙ 0 ∙ share

read it
An Analysis of Home IoT Network Traffic and Behaviour

Internet-connected devices are increasingly present in our homes, and pr...
03/14/2018 ∙ by Yousef Amar, et al. ∙ 0 ∙ share

read it
Automatic symbolic computation for discontinuous Galerkin finite element methods

The implementation of discontinuous Galerkin finite element methods (DGF...
04/06/2018 ∙ by Paul Houston, et al. ∙ 0 ∙ share

read it
Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification

The performance of speaker-related systems usually degrades heavily in p...
05/03/2018 ∙ by Siyang Song, et al. ∙ 0 ∙ share

read it
Addendum to "HTN Acting: A Formalism and an Algorithm"

Hierarchical Task Network (HTN) planning is a practical and efficient ap...
06/06/2018 ∙ by Lavindra de Silva, et al. ∙ 0 ∙ share

read it
On Bayesian inferential tasks with infinite-state jump processes: efficient data augmentation

Advances in sampling schemes for Markov jump processes have recently ena...
06/06/2018 ∙ by Iker Perez, et al. ∙ 0 ∙ share

read it
Approximate Bayesian inference with queueing networks and coupled jump processes

Queueing networks are systems of theoretical interest that give rise to ...
07/23/2018 ∙ by Iker Perez, et al. ∙ 0 ∙ share

read it

The University of Nottingham

Featured Researchers