University of Wollongong

research

∙ 12/27/2018

Towards effective AI-powered agile project management

The rise of Artificial intelligence (AI) has the potential to significan...

Hoa Khanh Dam, et al. ∙

research

∙ 07/07/2020

Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks

Most existing crowd counting systems rely on the availability of the obj...

Yan Liu, et al. ∙

research

∙ 02/07/2022

ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning

Cooperative learning, that enables two or more data owners to jointly tr...

Hao Wang, et al. ∙

research

∙ 10/29/2021

Novel View Synthesis from a Single Image via Unsupervised learning

View synthesis aims to generate novel views from one or more given sourc...

Bingzheng Liu, et al. ∙

research

∙ 08/02/2019

Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification

In person re-identification (Re-ID), supervised methods usually need a l...

Lei Qi, et al. ∙

research

∙ 09/27/2021

Context-guided Triple Matching for Multiple Choice Question Answering

The task of multiple choice question answering (MCQA) refers to identify...

Xun Yao, et al. ∙

research

∙ 04/27/2018

Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning

Due to low tissue contrast, irregular object appearance, and unpredictab...

Jinquan Sun, et al. ∙

research

∙ 08/05/2021

Using Metamorphic Relations to Verify and Enhance Artcode Classification

Software testing is often hindered where it is impossible or impractical...

Liming Xu, et al. ∙

research

∙ 08/08/2017

Automatic feature learning for vulnerability prediction

Code flaws or vulnerabilities are prevalent in software systems and can ...

Hoa Khanh Dam, et al. ∙

research

∙ 11/11/2017

DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition

Being symmetric positive-definite (SPD), covariance matrix has tradition...

Melih Engin, et al. ∙

research

∙ 10/31/2017

RGB-D-based Human Motion Recognition with Deep Learning: A Survey

Human motion recognition is one of the most important branches of human-...

Pichao Wang, et al. ∙

research

∙ 08/14/2017

Graph Classification via Deep Learning with Virtual Nodes

Learning representation for graph classification turns a variable-size g...

Trang Pham, et al. ∙

research

∙ 07/06/2017

Skeleton-based Action Recognition Using LSTM and CNN

Recent methods based on 3D skeleton data have achieved outstanding perfo...

Chuankun Li, et al. ∙

research

∙ 04/06/2017

Training Triplet Networks with GAN

Triplet networks are widely used models that are characterized by good p...

Maciej Zieba, et al. ∙

research

∙ 06/16/2017

A Fully Trainable Network with RNN-based Pooling

Pooling is an important component in convolutional neural networks (CNNs...

Shuai Li, et al. ∙

research

∙ 05/02/2017

Investigation of Different Skeleton Features for CNN-based 3D Action Recognition

Deep learning techniques are being used in skeleton based action recogni...

Zewei Ding, et al. ∙

research

∙ 09/02/2016

A deep learning model for estimating story points

Although there has been substantial research in software analytics for e...

Morakot Choetkiertikul, et al. ∙

research

∙ 02/28/2017

Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks

Scene flow describes the motion of 3D objects in real world and potentia...

Pichao Wang, et al. ∙

research

∙ 08/09/2016

A deep language model for software code

Existing language models such as n-grams for software code often fail to...

Hoa Khanh Dam, et al. ∙

research

∙ 07/30/2016

DeepSoft: A vision for a deep model of software

Although software analytics has experienced rapid growth as a research a...

Hoa Khanh Dam, et al. ∙

research

∙ 01/07/2017

Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks

This paper proposes three simple, compact yet effective representations ...

Pichao Wang, et al. ∙

research

∙ 12/30/2016

Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks

Convolutional Neural Networks (ConvNets) have recently shown promising p...

Pichao Wang, et al. ∙

research

∙ 11/08/2016

Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks

Recently, Convolutional Neural Networks (ConvNets) have shown promising ...

Pichao Wang, et al. ∙

research

∙ 10/27/2016

Exploiting Structure Sparsity for Covariance-based Visual Representation

The past few years have witnessed increasing research interest on covari...

Jianjia Zhang, et al. ∙

research

∙ 09/29/2016

OPML: A One-Pass Closed-Form Solution for Online Metric Learning

To achieve a low computational cost when performing online metric learni...

Wenbin Li, et al. ∙

research

∙ 08/22/2016

Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks

This paper addresses the problem of continuous gesture recognition from ...

Pichao Wang, et al. ∙

research

∙ 04/01/2016

Learning a Pose Lexicon for Semantic Action Recognition

This paper presents a novel method for learning a pose lexicon comprisin...

Lijuan Zhou, et al. ∙

research

∙ 02/22/2016

Planogram Compliance Checking Based on Detection of Recurring Patterns

In this paper, a novel method for automatic planogram compliance checkin...

Song Liu, et al. ∙

research

∙ 02/22/2016

Creating Simplified 3D Models with High Quality Textures

This paper presents an extension to the KinectFusion algorithm which all...

Song Liu, et al. ∙

research

∙ 02/01/2016

Combining ConvNets with Hand-Crafted Features for Action Recognition Based on an HMM-SVM Classifier

This paper proposes a new framework for RGB-D-based action recognition t...

Pichao Wang, et al. ∙

research

∙ 01/21/2016

RGB-D-based Action Recognition Datasets: A Survey

Human action recognition from RGB-D (Red, Green, Blue and Depth) data ha...

Jing Zhang, et al. ∙

research

∙ 01/16/2016

Compositional Model based Fisher Vector Coding for Image Classification

Deriving from the gradient vector of a generative model of local feature...

Lingqiao Liu, et al. ∙

research

∙ 11/10/2015

Online Action Recognition based on Incremental Learning of Weighted Covariance Descriptors

Different from traditional action recognition based on video segments, o...

Chang Tang, et al. ∙

research

∙ 06/23/2015

Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data

Due to its causal semantics, Bayesian networks (BN) have been widely emp...

Luping Zhou, et al. ∙

research

∙ 04/10/2015

HEp-2 Cell Image Classification with Deep Convolutional Neural Networks

Efficient Human Epithelial-2 (HEp-2) cell image classification can facil...

Zhimin Gao, et al. ∙

research

∙ 01/20/2015

Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences

Recently, deep learning approach has achieved promising results in vario...

Pichao Wang, et al. ∙

research

∙ 09/14/2014

Mining Mid-level Features for Action Recognition Based on Effective Skeleton Representation

Recently, mid-level features have shown promising performance in compute...

Pichao Wang, et al. ∙

research

∙ 07/08/2014

Learning Discriminative Stein Kernel for SPD Matrices and Its Applications

Stein kernel has recently shown promising performance on classifying ima...

Jianjia Zhang, et al. ∙

research

∙ 07/10/2002

Iterated revision and the axiom of recovery: a unified treatment via epistemic states

The axiom of recovery, while capturing a central intuition regarding bel...

Samir Chopra, et al. ∙

research

∙ 01/30/2014

A Generalized Probabilistic Framework for Compact Codebook Creation

Compact and discriminative visual codebooks are preferred in many visual...

Lingqiao Liu, et al. ∙

research

∙ 08/02/2012

A phase-sensitive method for filtering on the sphere

This paper examines filtering on a sphere, by first examining the roles ...

Ramakrishna Kakarala, et al. ∙

research

∙ 11/21/2017

On statistical approaches to generate Level 3 products from remote sensing retrievals

Remote sensing of trace gases such as carbon dioxide (CO_2) has led to a...

Andrew Zammit Mangion, et al. ∙

research

∙ 02/02/2018

Explainable Software Analytics

Software analytics has been the subject of considerable recent attention...

Hoa Khanh Dam, et al. ∙

research

∙ 02/03/2018

Memory-Augmented Neural Networks for Predictive Process Analytics

Process analytics involves a sophisticated layer of data analytics built...

Asjad Khan, et al. ∙

research

∙ 02/03/2018

A deep tree-based model for software defect prediction

Defects are common in software systems and can potentially cause various...

Hoa Khanh Dam, et al. ∙

research

∙ 11/21/2017

On statistical approaches to generate Level 3 products from satellite remote sensing retrievals

Satellite remote sensing of trace gases such as carbon dioxide (CO_2) ha...

Andrew Zammit Mangion, et al. ∙

research

∙ 03/13/2018

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

Recurrent neural networks (RNNs) have been widely used for processing se...

Shuai Li, et al. ∙

research

∙ 03/21/2018

On Maximizing Sampling Time of RF-Harvesting Sensor Nodes Over Random Channel Gains

In the future, sensor nodes or Internet of Things (IoTs) will be tasked ...

Changlin Yang, et al. ∙

research

∙ 03/25/2018

Importance Weighted Adversarial Nets for Partial Domain Adaptation

This paper proposes an importance weighted adversarial nets-based method...

Jing Zhang, et al. ∙

research

∙ 04/10/2018

ModelFactory: A Matlab/Octave based toolbox to create human body models

Background: Model-based analysis of movements can help better understand...

Manish Sreenivasa, et al. ∙

University of Wollongong

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