University of Wollongong

∙ Wollongong , Australia ∙ 0 followers

The University of Wollongong is an Australian public research university located in the coastal city of Wollongong, New South Wales, approximately 80 kilometres south of Sydney.

Towards effective AI-powered agile project management

The rise of Artificial intelligence (AI) has the potential to significan...
12/27/2018 ∙ by Hoa Khanh Dam, et al. ∙ 8 ∙ 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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Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification

In person re-identification (Re-ID), supervised methods usually need a l...
08/02/2019 ∙ by Lei Qi, et al. ∙ 3 ∙ share

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

Due to low tissue contrast, irregular object appearance, and unpredictab...
04/27/2018 ∙ by Jinquan Sun, et al. ∙ 2 ∙ share

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Automatic feature learning for vulnerability prediction

Code flaws or vulnerabilities are prevalent in software systems and can ...
08/08/2017 ∙ by Hoa Khanh Dam, et al. ∙ 0 ∙ share

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

Being symmetric positive-definite (SPD), covariance matrix has tradition...
11/11/2017 ∙ by Melih Engin, et al. ∙ 0 ∙ share

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

Human motion recognition is one of the most important branches of human-...
10/31/2017 ∙ by Pichao Wang, et al. ∙ 0 ∙ share

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Graph Classification via Deep Learning with Virtual Nodes

Learning representation for graph classification turns a variable-size g...
08/14/2017 ∙ by Trang Pham, et al. ∙ 0 ∙ share

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Skeleton-based Action Recognition Using LSTM and CNN

Recent methods based on 3D skeleton data have achieved outstanding perfo...
07/06/2017 ∙ by Chuankun Li, et al. ∙ 0 ∙ share

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Training Triplet Networks with GAN

Triplet networks are widely used models that are characterized by good p...
04/06/2017 ∙ by Maciej Zieba, et al. ∙ 0 ∙ share

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A Fully Trainable Network with RNN-based Pooling

Pooling is an important component in convolutional neural networks (CNNs...
06/16/2017 ∙ by Shuai Li, et al. ∙ 0 ∙ share

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

Deep learning techniques are being used in skeleton based action recogni...
05/02/2017 ∙ by Zewei Ding, et al. ∙ 0 ∙ share

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A deep learning model for estimating story points

Although there has been substantial research in software analytics for e...
09/02/2016 ∙ by Morakot Choetkiertikul, et al. ∙ 0 ∙ share

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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...
02/28/2017 ∙ by Pichao Wang, et al. ∙ 0 ∙ share

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A deep language model for software code

Existing language models such as n-grams for software code often fail to...
08/09/2016 ∙ by Hoa Khanh Dam, et al. ∙ 0 ∙ share

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DeepSoft: A vision for a deep model of software

Although software analytics has experienced rapid growth as a research a...
07/30/2016 ∙ by Hoa Khanh Dam, et al. ∙ 0 ∙ share

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Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks

This paper proposes three simple, compact yet effective representations ...
01/07/2017 ∙ by Pichao Wang, et al. ∙ 0 ∙ share

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Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks

Convolutional Neural Networks (ConvNets) have recently shown promising p...
12/30/2016 ∙ by Pichao Wang, et al. ∙ 0 ∙ share

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Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks

Recently, Convolutional Neural Networks (ConvNets) have shown promising ...
11/08/2016 ∙ by Pichao Wang, et al. ∙ 0 ∙ share

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Exploiting Structure Sparsity for Covariance-based Visual Representation

The past few years have witnessed increasing research interest on covari...
10/27/2016 ∙ by Jianjia Zhang, et al. ∙ 0 ∙ share

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

To achieve a low computational cost when performing online metric learni...
09/29/2016 ∙ by Wenbin Li, et al. ∙ 0 ∙ share

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Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks

This paper addresses the problem of continuous gesture recognition from ...
08/22/2016 ∙ by Pichao Wang, et al. ∙ 0 ∙ share

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Learning a Pose Lexicon for Semantic Action Recognition

This paper presents a novel method for learning a pose lexicon comprisin...
04/01/2016 ∙ by Lijuan Zhou, et al. ∙ 0 ∙ share

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Planogram Compliance Checking Based on Detection of Recurring Patterns

In this paper, a novel method for automatic planogram compliance checkin...
02/22/2016 ∙ by Song Liu, et al. ∙ 0 ∙ share

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Creating Simplified 3D Models with High Quality Textures

This paper presents an extension to the KinectFusion algorithm which all...
02/22/2016 ∙ by Song Liu, et al. ∙ 0 ∙ share

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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...
02/01/2016 ∙ by Pichao Wang, et al. ∙ 0 ∙ share

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RGB-D-based Action Recognition Datasets: A Survey

Human action recognition from RGB-D (Red, Green, Blue and Depth) data ha...
01/21/2016 ∙ by Jing Zhang, et al. ∙ 0 ∙ share

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Compositional Model based Fisher Vector Coding for Image Classification

Deriving from the gradient vector of a generative model of local feature...
01/16/2016 ∙ by Lingqiao Liu, et al. ∙ 0 ∙ share

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Online Action Recognition based on Incremental Learning of Weighted Covariance Descriptors

Different from traditional action recognition based on video segments, o...
11/10/2015 ∙ by Chang Tang, et al. ∙ 0 ∙ share

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Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data

Due to its causal semantics, Bayesian networks (BN) have been widely emp...
06/23/2015 ∙ by Luping Zhou, et al. ∙ 0 ∙ share

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HEp-2 Cell Image Classification with Deep Convolutional Neural Networks

Efficient Human Epithelial-2 (HEp-2) cell image classification can facil...
04/10/2015 ∙ by Zhimin Gao, et al. ∙ 0 ∙ share

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Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences

Recently, deep learning approach has achieved promising results in vario...
01/20/2015 ∙ by Pichao Wang, et al. ∙ 0 ∙ share

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

Recently, mid-level features have shown promising performance in compute...
09/14/2014 ∙ by Pichao Wang, et al. ∙ 0 ∙ share

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Learning Discriminative Stein Kernel for SPD Matrices and Its Applications

Stein kernel has recently shown promising performance on classifying ima...
07/08/2014 ∙ by Jianjia Zhang, et al. ∙ 0 ∙ share

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

The axiom of recovery, while capturing a central intuition regarding bel...
07/10/2002 ∙ by Samir Chopra, et al. ∙ 0 ∙ share

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A Generalized Probabilistic Framework for Compact Codebook Creation

Compact and discriminative visual codebooks are preferred in many visual...
01/30/2014 ∙ by Lingqiao Liu, et al. ∙ 0 ∙ share

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A phase-sensitive method for filtering on the sphere

This paper examines filtering on a sphere, by first examining the roles ...
08/02/2012 ∙ by Ramakrishna Kakarala, et al. ∙ 0 ∙ share

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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...
11/21/2017 ∙ by Andrew Zammit Mangion, et al. ∙ 0 ∙ share

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Explainable Software Analytics

Software analytics has been the subject of considerable recent attention...
02/02/2018 ∙ by Hoa Khanh Dam, et al. ∙ 0 ∙ share

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Memory-Augmented Neural Networks for Predictive Process Analytics

Process analytics involves a sophisticated layer of data analytics built...
02/03/2018 ∙ by Asjad Khan, et al. ∙ 0 ∙ share

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A deep tree-based model for software defect prediction

Defects are common in software systems and can potentially cause various...
02/03/2018 ∙ by Hoa Khanh Dam, et al. ∙ 0 ∙ share

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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...
11/21/2017 ∙ by Andrew Zammit Mangion, et al. ∙ 0 ∙ share

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

Recurrent neural networks (RNNs) have been widely used for processing se...
03/13/2018 ∙ by Shuai Li, et al. ∙ 0 ∙ share

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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 ...
03/21/2018 ∙ by Changlin Yang, et al. ∙ 0 ∙ share

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Importance Weighted Adversarial Nets for Partial Domain Adaptation

This paper proposes an importance weighted adversarial nets-based method...
03/25/2018 ∙ by Jing Zhang, et al. ∙ 0 ∙ share

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

Background: Model-based analysis of movements can help better understand...
04/10/2018 ∙ by Manish Sreenivasa, et al. ∙ 0 ∙ share

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High-resolution computer meshes of the lower body bones of an adult human female derived from CT images

Background Computer-based geometrical meshes of bones are important for ...
04/10/2018 ∙ by Manish Sreenivasa, et al. ∙ 0 ∙ share

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Online Deep Metric Learning

Metric learning learns a metric function from training data to calculate...
05/15/2018 ∙ by Wenbin Li, et al. ∙ 0 ∙ share

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A Family of Maximum Margin Criterion for Adaptive Learning

In recent years, pattern analysis plays an important role in data mining...
10/09/2018 ∙ by Miao Cheng, et al. ∙ 0 ∙ share

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Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments

Hybrid massive MIMO structures with reduced hardware complexity and powe...
10/10/2018 ∙ by Rui Hu, et al. ∙ 0 ∙ share

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University of Wollongong

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