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Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems
In recent years, the emerging topics of recommender systems that take ad...
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Actively Seeking and Learning from Live Data
One of the key limitations of traditional machine learning methods is th...
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Multi-Label Image Recognition with Graph Convolutional Networks
The task of multi-label image recognition is to predict a set of object ...
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Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild
In this work we propose to improve text recognition from a new perspecti...
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SOLOv2: Dynamic, Faster and Stronger
In this work, we aim at building a simple, direct, and fast instance seg...
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Discrimination-aware Network Pruning for Deep Model Compression
We study network pruning which aims to remove redundant channels/kernels...
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Towards generative adversarial networks as a new paradigm for radiology education
Medical students and radiology trainees typically view thousands of imag...
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From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
Visual counting, a task that aims to estimate the number of objects from...
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COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection
Coronaviruses are important human and animal pathogens. To date the nove...
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Deep Anomaly Detection with Deviation Networks
Although deep learning has been applied to successfully address many dat...
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ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
Scene text detection and recognition has received increasing research at...
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FCOS: A simple and strong anchor-free object detector
In computer vision, object detection is one of most important tasks, whi...
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Reinforcement Learning with Attention that Works: A Self-Supervised Approach
Attention models have had a significant positive impact on deep learning...
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A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search
Renewable energy, such as ocean wave energy, plays a pivotal role in add...
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Depth Based Semantic Scene Completion with Position Importance Aware Loss
Semantic Scene Completion (SSC) refers to the task of inferring the 3D s...
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Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
Cross-modal retrieval between videos and texts has attracted growing att...
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An Annotated Dataset of Stack Overflow Post Edits
To improve software engineering, software repositories have been mined f...
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Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
Automated design of architectures tailored for a specific task at hand i...
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Structured Multimodal Attentions for TextVQA
Text based Visual Question Answering (TextVQA) is a recently raised chal...
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Length-Controllable Image Captioning
The last decade has witnessed remarkable progress in the image captionin...
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Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification
Vehicle re-identification is an important problem and becomes desirable ...
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On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms
The Bayesian Optimisation Algorithm (BOA) is an Estimation of Distributi...
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The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms
Many real-world optimisation problems involve dynamic and stochastic com...
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Design optimisation of a multi-mode wave energy converter
A wave energy converter (WEC) similar to the CETO system developed by Ca...
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Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
In this work we focus on the well-known Euclidean Traveling Salesperson ...
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Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks
The task in referring expression comprehension is to localise the object...
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RERERE: Remote Embodied Referring Expressions in Real indoor Environments
One of the long-term challenges of robotics is to enable humans to commu...
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A Non-Dominated Sorting Based Customized Random-Key Genetic Algorithm for the Bi-Objective Traveling Thief Problem
In this paper, we propose a method to solve a bi-objective variant of th...
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Consensus Maximisation Using Influences of Monotone Boolean Functions
Consensus maximisation (MaxCon), which is widely used for robust fitting...
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Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement
We propose an approach to estimate the 6DOF pose of a satellite, relativ...
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Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
Humans are able to describe image contents with coarse to fine details a...
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Conditional Convolutions for Instance Segmentation
We propose a simple yet effective instance segmentation framework, terme...
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Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
Most existing crowd counting systems rely on the availability of the obj...
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Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI
We propose a new method for breast cancer screening from DCE-MRI based o...
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Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation
Automated skin lesion segmentation on dermoscopy images is an essential ...
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A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters
Ocean wave energy is a source of renewable energy that has gained much a...
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IR-NAS: Neural Architecture Search for Image Restoration
Recently, neural architecture search (NAS) methods have attracted much a...
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Algorithm Selection for Image Quality Assessment
Subjective perceptual image quality can be assessed in lab studies by hu...
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Visual Question Answering with Prior Class Semantics
We present a novel mechanism to embed prior knowledge in a model for vis...
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Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection
The Traveling-Salesperson-Problem (TSP) is arguably one of the best-know...
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Optimizable Object Reconstruction from a Single View
3D shape reconstruction from a single image is a highly ill-posed proble...
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Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
We introduce a new, rigorously-formulated Bayesian meta-learning algorit...
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From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
Visual counting, a task that predicts the number of objects from an imag...
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Evolutionary Image Transition and Painting Using Random Walks
We present a study demonstrating how random walk algorithms can be used ...
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Joint learning of Social Groups, Individuals Action and Sub-group Activities in Videos
The state-of-the art solutions for human activity understanding from a v...
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Automated Algorithm Selection: Survey and Perspectives
It has long been observed that for practically any computational problem...
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Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors
Wearables are fundamental to improving our understanding of human activi...
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Towards End-to-End Text Spotting in Natural Scenes
Text spotting in natural scene images is of great importance for many im...
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Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation
The installed amount of renewable energy has expanded massively in recen...
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Evolutionary Bi-objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives
Real-world combinatorial optimization problems are often stochastic and ...
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