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
216 publications
Wei Liu
187 publications
Ian Reid
99 publications
Anton van den Hengel
92 publications
Hao Chen
92 publications
Peng Wang
82 publications
Yu Liu
71 publications
Chao Wang
67 publications
Junzhou Huang
52 publications
Frank Neumann
51 publications
Lingqiao Liu
48 publications

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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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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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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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. ∙ 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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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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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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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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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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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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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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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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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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Data Driven Robust Image Guided Depth Map Restoration

Depth maps captured by modern depth cameras such as Kinect and Time-of-F...
12/26/2015 ∙ by Wei Liu, et al. ∙ 0 ∙ share

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Robust Guided Image Filtering

The process of using one image to guide the filtering process of another...
03/28/2017 ∙ by Wei Liu, et al. ∙ 0 ∙ share

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Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

A robot that can carry out a natural-language instruction has been a dre...
11/20/2017 ∙ by Peter Anderson, et al. ∙ 0 ∙ share

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Compact Hash Code Learning with Binary Deep Neural Network

In this work, we firstly propose deep network models and learning algori...
12/08/2017 ∙ by Thanh-Toan Do, et al. ∙ 0 ∙ share

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Learning Semantic Concepts and Order for Image and Sentence Matching

Image and sentence matching has made great progress recently, but it rem...
12/06/2017 ∙ by Yan Huang, et al. ∙ 0 ∙ share

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Guaranteed Outlier Removal for Point Cloud Registration with Correspondences

An established approach for 3D point cloud registration is to estimate t...
11/28/2017 ∙ by Álvaro Parra Bustos, et al. ∙ 0 ∙ share

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Detecting hip fractures with radiologist-level performance using deep neural networks

We developed an automated deep learning system to detect hip fractures f...
11/17/2017 ∙ by William Gale, et al. ∙ 0 ∙ share

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Visual Question Answering as a Meta Learning Task

The predominant approach to Visual Question Answering (VQA) demands that...
11/22/2017 ∙ by Damien Teney, et al. ∙ 0 ∙ share

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Repulsion Loss: Detecting Pedestrians in a Crowd

Detecting individual pedestrians in a crowd remains a challenging proble...
11/21/2017 ∙ by Xinlong Wang, et al. ∙ 0 ∙ share

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Deterministic Approximate Methods for Maximum Consensus Robust Fitting

Maximum consensus estimation plays a critically important role in robust...
10/27/2017 ∙ by Huu Le, et al. ∙ 0 ∙ share

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Evolutionary computation for multicomponent problems: opportunities and future directions

Over the past 30 years many researchers in the field of evolutionary com...
06/22/2016 ∙ by Mohammad Reza Bonyadi, et al. ∙ 0 ∙ share

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Can Image Retrieval help Visual Saliency Detection?

We propose a novel image retrieval framework for visual saliency detecti...
09/24/2017 ∙ by Shuang Li, et al. ∙ 0 ∙ share

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