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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...
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PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
Camera localization is a fundamental requirement in robotics and compute...
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Knowledge distillation via adaptive instance normalization
This paper addresses the problem of model compression via knowledge dist...
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Triple consistency loss for pairing distributions in GAN-based face synthesis
Generative Adversarial Networks have shown impressive results for the ta...
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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...
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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...
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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...
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A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets
In this paper, we propose a novel weighted combination feature selection...
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AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces
Being heavily reliant on animals, it is our ethical obligation to improv...
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Performance Optimization of a Fuzzy Entropy based Feature Selection and Classification Framework
In this paper, based on a fuzzy entropy feature selection framework, dif...
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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...
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Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks
A wide range of techniques can be considered for segmentation of images ...
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Zero-shot keyword spotting for visual speech recognition in-the-wild
Visual keyword spotting (KWS) is the problem of estimating whether a tex...
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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...
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3D Human Body Reconstruction from a Single Image via Volumetric Regression
This paper proposes the use of an end-to-end Convolutional Neural Networ...
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Populations can be essential in tracking dynamic optima
Real-world optimisation problems are often dynamic. Previously good solu...
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Self-adaptation of Mutation Rates in Non-elitist Populations
The runtime of evolutionary algorithms (EAs) depends critically on their...
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Augmented Neural Networks for Modelling Consumer Indebtness
Consumer Debt has risen to be an important problem of modern societies, ...
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Image Companding and Inverse Halftoning using Deep Convolutional Neural Networks
In this paper, we introduce deep learning technology to tackle two tradi...
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A Parameterized Complexity Analysis of Bi-level Optimisation with Evolutionary Algorithms
Bi-level optimisation problems have gained increasing interest in the fi...
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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...
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Exploring Differences in Interpretation of Words Essential in Medical Expert-Patient Communication
In the context of cancer treatment and surgery, quality of life assessme...
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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...
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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...
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Identifying Candidate Risk Factors for Prescription Drug Side Effects using Causal Contrast Set Mining
Big longitudinal observational databases present the opportunity to extr...
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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...
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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...
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Combining Residual Networks with LSTMs for Lipreading
We propose an end-to-end deep learning architecture for word-level visua...
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Random Forest for Label Ranking
Label ranking aims to learn a mapping from instances to rankings over a ...
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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...
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A Fuzzy Directional Distance Measure
The measure of distance between two fuzzy sets is a fundamental tool wit...
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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 ...
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Human pose estimation via Convolutional Part Heatmap Regression
This paper is on human pose estimation using Convolutional Neural Networ...
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Exploring Programmable Self-Assembly in Non-DNA based Molecular Computing
Self-assembly is a phenomenon observed in nature at all scales where aut...
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Measuring the Directional Distance Between Fuzzy Sets
The measure of distance between two fuzzy sets is a fundamental tool wit...
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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 ...
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Cascaded Continuous Regression for Real-time Incremental Face Tracking
This paper introduces a novel real-time algorithm for facial landmark tr...
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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...
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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)...
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Bayes factors for partially observed stochastic epidemic models
We consider the problem of model choice for stochastic epidemic models g...
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The extended power distribution: A new distribution on (0, 1)
We propose a two-parameter bounded probability distribution called the e...
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Two-Stage Stochastic International Portfolio Optimisation under Regular-Vine-Copula-Based Scenarios
In this paper, we present a two-stage stochastic international portfolio...
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Smoothing splines on Riemannian manifolds, with applications to 3D shape space
There has been increasing interest in statistical analysis of data lying...
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End-to-end Audiovisual Speech Recognition
Several end-to-end deep learning approaches have been recently presented...
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An Analysis of Home IoT Network Traffic and Behaviour
Internet-connected devices are increasingly present in our homes, and pr...
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Automatic symbolic computation for discontinuous Galerkin finite element methods
The implementation of discontinuous Galerkin finite element methods (DGF...
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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...
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Addendum to "HTN Acting: A Formalism and an Algorithm"
Hierarchical Task Network (HTN) planning is a practical and efficient ap...
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On Bayesian inferential tasks with infinite-state jump processes: efficient data augmentation
Advances in sampling schemes for Markov jump processes have recently ena...
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Approximate Bayesian inference with queueing networks and coupled jump processes
Queueing networks are systems of theoretical interest that give rise to ...
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