The University of Adelaide

∙ Adelaide , Australia ∙ 0 followers

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
206 publications
Ian Reid
96 publications
Anton van den Hengel
90 publications
Hao Chen
84 publications
Peng Wang
79 publications
Yu Liu
65 publications
Chao Wang
62 publications
Frank Neumann
50 publications
Lingqiao Liu
47 publications
Junzhou Huang
45 publications
Bo Chen
36 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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection

We propose AffordanceNet, a new deep learning approach to simultaneously...
09/21/2017 ∙ by Thanh-Toan Do, et al. ∙ 0 ∙ share

read it
Bayesian Conditional Generative Adverserial Networks

Traditional GANs use a deterministic generator function (typically a neu...
06/17/2017 ∙ by Ehsan Abbasnejad, et al. ∙ 0 ∙ share

read it
Continual One-Shot Learning of Hidden Spike-Patterns with Neural Network Simulation Expansion and STDP Convergence Predictions

This paper presents a constructive algorithm that achieves successful on...
08/30/2017 ∙ by Toby Lightheart, et al. ∙ 0 ∙ share

read it
Parameterized Analysis of Multi-objective Evolutionary Algorithms and the Weighted Vertex Cover Problem

A rigorous runtime analysis of evolutionary multi-objective optimization...
04/06/2016 ∙ by Mojgan Pourhassan, et al. ∙ 0 ∙ share

read it
Competitive Multi-scale Convolution

In this paper, we introduce a new deep convolutional neural network (Con...
11/18/2015 ∙ by Zhibin Liao, et al. ∙ 0 ∙ share

read it
Real-Time Pose Estimation for Event Cameras with Stacked Spatial LSTM Networks

We present a new method to estimate the 6DOF pose of the event camera so...
08/22/2017 ∙ by Anh Nguyen, et al. ∙ 0 ∙ share

read it
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units

Deep feedforward neural networks with piecewise linear activations are c...
08/03/2015 ∙ by Zhibin Liao, et al. ∙ 0 ∙ share

read it
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge

This paper presents a state-of-the-art model for visual question answeri...
08/09/2017 ∙ by Damien Teney, et al. ∙ 0 ∙ share

read it
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Top-down visual attention mechanisms have been used extensively in image...
07/25/2017 ∙ by Peter Anderson, et al. ∙ 0 ∙ share

read it