The University of Adelaide

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The University of Adelaide provides quality service and support to its community through the efforts of a range of departments. This site includes academic faculties, research centres, learning support and administrative departments.

Featured Researchers

Chunhua Shen
235 publications
Wei Liu
212 publications
Hao Chen
106 publications
Ian Reid
103 publications
Anton van den Hengel
98 publications
Peng Wang
95 publications
Chao Wang
83 publications
Yu Liu
82 publications
Hui Li
71 publications
Frank Neumann
63 publications
Junzhou Huang
60 publications

Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems

In recent years, the emerging topics of recommender systems that take ad...
04/28/2020 ∙ by Dai Hoang Tran, et al. ∙ 37 ∙ share

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Actively Seeking and Learning from Live Data

One of the key limitations of traditional machine learning methods is th...
04/05/2019 ∙ by Damien Teney, et al. ∙ 34 ∙ share

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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 ...
04/07/2019 ∙ by Zhao-Min Chen, et al. ∙ 32 ∙ share

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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...
01/13/2020 ∙ by Canjie Luo, et al. ∙ 27 ∙ share

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SOLOv2: Dynamic, Faster and Stronger

In this work, we aim at building a simple, direct, and fast instance seg...
03/23/2020 ∙ by Xinlong Wang, et al. ∙ 23 ∙ share

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Discrimination-aware Network Pruning for Deep Model Compression

We study network pruning which aims to remove redundant channels/kernels...
01/04/2020 ∙ by Jing Liu, et al. ∙ 21 ∙ share

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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...
12/04/2018 ∙ by Samuel G. Finlayson, et al. ∙ 20 ∙ share

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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...
01/07/2020 ∙ by Haipeng Xiong, et al. ∙ 20 ∙ share

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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...
03/27/2020 ∙ by Jianpeng Zhang, et al. ∙ 18 ∙ share

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Deep Anomaly Detection with Deviation Networks

Although deep learning has been applied to successfully address many dat...
11/19/2019 ∙ by Guansong, et al. ∙ 17 ∙ share

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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...
02/24/2020 ∙ by Yuliang Liu, et al. ∙ 17 ∙ share

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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...
06/14/2020 ∙ by Zhi Tian, et al. ∙ 17 ∙ share

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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...
04/06/2019 ∙ by Anthony Manchin, et al. ∙ 14 ∙ share

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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...
04/21/2019 ∙ by Mehdi Neshat, et al. ∙ 14 ∙ share

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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...
01/29/2020 ∙ by Yu Liu, et al. ∙ 14 ∙ share

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Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning

Cross-modal retrieval between videos and texts has attracted growing att...
03/01/2020 ∙ by Shizhe Chen, et al. ∙ 13 ∙ share

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An Annotated Dataset of Stack Overflow Post Edits

To improve software engineering, software repositories have been mined f...
04/17/2020 ∙ by Sebastian Baltes, et al. ∙ 13 ∙ share

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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...
10/25/2018 ∙ by Vladimir Nekrasov, et al. ∙ 12 ∙ share

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Structured Multimodal Attentions for TextVQA

Text based Visual Question Answering (TextVQA) is a recently raised chal...
06/01/2020 ∙ by Chenyu Gao, et al. ∙ 12 ∙ share

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Length-Controllable Image Captioning

The last decade has witnessed remarkable progress in the image captionin...
07/19/2020 ∙ by Chaorui Deng, et al. ∙ 12 ∙ share

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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 ...
12/11/2018 ∙ by Xiu-Shen Wei, et al. ∙ 10 ∙ share

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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...
02/15/2019 ∙ by Mohamed El Yafrani, et al. ∙ 10 ∙ share

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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...
04/25/2020 ∙ by Ragav Sachdeva, et al. ∙ 10 ∙ share

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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...
01/24/2020 ∙ by Nataliia Y. Sergiienko, et al. ∙ 9 ∙ share

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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 ...
06/29/2020 ∙ by Moritz Seiler, et al. ∙ 9 ∙ share

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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...
12/12/2018 ∙ by Peng Wang, et al. ∙ 8 ∙ share

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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...
04/23/2019 ∙ by Yuankai Qi, et al. ∙ 8 ∙ share

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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...
02/11/2020 ∙ by Jonatas B. C. Chagas, et al. ∙ 8 ∙ share

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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...
08/30/2019 ∙ by Bo Chen, et al. ∙ 7 ∙ share

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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...
03/01/2020 ∙ by Shizhe Chen, et al. ∙ 7 ∙ share

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Conditional Convolutions for Instance Segmentation

We propose a simple yet effective instance segmentation framework, terme...
03/12/2020 ∙ by Zhi Tian, et al. ∙ 7 ∙ share

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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...
07/07/2020 ∙ by Yan Liu, et al. ∙ 7 ∙ share

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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...
09/25/2018 ∙ by Gabriel Maicas, et al. ∙ 6 ∙ share

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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 ...
03/08/2019 ∙ by Yutong Xie, et al. ∙ 6 ∙ share

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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...
04/15/2019 ∙ by Mehdi Neshat, et al. ∙ 6 ∙ share

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IR-NAS: Neural Architecture Search for Image Restoration

Recently, neural architecture search (NAS) methods have attracted much a...
09/18/2019 ∙ by Haokui Zhang, et al. ∙ 6 ∙ share

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Algorithm Selection for Image Quality Assessment

Subjective perceptual image quality can be assessed in lab studies by hu...
08/19/2019 ∙ by Markus Wagner, et al. ∙ 5 ∙ share

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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...
05/04/2020 ∙ by Violetta Shevchenko, et al. ∙ 5 ∙ share

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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...
05/27/2020 ∙ by Jakob Bossek, et al. ∙ 5 ∙ share

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Optimizable Object Reconstruction from a Single View

3D shape reconstruction from a single image is a highly ill-posed proble...
11/29/2018 ∙ by Kejie Li, et al. ∙ 4 ∙ share

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Uncertainty in Model-Agnostic Meta-Learning using Variational Inference

We introduce a new, rigorously-formulated Bayesian meta-learning algorit...
07/27/2019 ∙ by Cuong Nguyen, et al. ∙ 4 ∙ share

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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...
08/15/2019 ∙ by Haipeng Xiong, et al. ∙ 4 ∙ share

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Evolutionary Image Transition and Painting Using Random Walks

We present a study demonstrating how random walk algorithms can be used ...
03/02/2020 ∙ by Aneta Neumann, et al. ∙ 4 ∙ share

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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...
07/06/2020 ∙ by Mahsa Ehsanpour, et al. ∙ 4 ∙ share

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Automated Algorithm Selection: Survey and Perspectives

It has long been observed that for practically any computational problem...
11/28/2018 ∙ by Pascal Kerschke, et al. ∙ 2 ∙ share

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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...
07/14/2020 ∙ by Alireza Abedin, et al. ∙ 2 ∙ share

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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...
06/14/2019 ∙ by Hui Li, et al. ∙ 1 ∙ share

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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...
07/06/2019 ∙ by Mehdi, et al. ∙ 1 ∙ share

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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 ...
02/17/2020 ∙ by Hirad Assimi, et al. ∙ 1 ∙ share

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Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework

Wave energy is a fast-developing and promising renewable energy resource...
03/21/2020 ∙ by Mehdi Neshat, et al. ∙ 1 ∙ share

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