b'CSIRO'

research

∙ 05/17/2020

Deep Learning for Community Detection: Progress, Challenges and Opportunities

As communities represent similar opinions, similar functions, similar pu...

Fanzhen Liu, et al. ∙

research

∙ 12/29/2019

Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification

We consider the problem of publicly releasing a dataset for support vect...

Farhad Farokhi, et al. ∙

research

∙ 05/16/2022

Optimizing the optimizer for data driven deep neural networks and physics informed neural networks

We investigate the role of the optimizer in determining the quality of t...

John Taylor, et al. ∙

research

∙ 04/28/2020

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

In recent years, the emerging topics of recommender systems that take ad...

Dai Hoang Tran, et al. ∙

research

∙ 04/01/2019

ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data

Scene understanding of high resolution aerial images is of great importa...

Foivos I. Diakogiannis, et al. ∙

research

∙ 12/24/2021

Gaussian Process Bandits with Aggregated Feedback

We consider the continuum-armed bandits problem, under a novel setting o...

Mengyan Zhang, et al. ∙

research

∙ 04/16/2019

A Deep Journey into Super-resolution: A survey

Deep convolutional networks based super-resolution is a fast-growing fie...

Saeed Anwar, et al. ∙

research

∙ 12/11/2018

Loss Guided Activation for Action Recognition in Still Images

One significant problem of deep-learning based human action recognition ...

Lu Liu, et al. ∙

research

∙ 10/14/2021

Video-based cattle identification and action recognition

We demonstrate a working prototype for the monitoring of cow welfare by ...

Chuong Nguyen, et al. ∙

research

∙ 12/07/2021

Voxelized 3D Feature Aggregation for Multiview Detection

Multi-view detection incorporates multiple camera views to alleviate occ...

Jiahao Ma, et al. ∙

research

∙ 12/18/2018

Hybrid Loss for Learning Single-Image-based HDR Reconstruction

This paper tackles high-dynamic-range (HDR) image reconstruction given o...

Kenta Moriwaki, et al. ∙

research

∙ 09/30/2019

CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation

We present a new approach for a single view, image-based object pose est...

Kartik Gupta, et al. ∙

research

∙ 05/16/2020

On the Complexity of Breaking Symmetry

We can break symmetry by eliminating solutions within a symmetry class t...

Toby Walsh, et al. ∙

research

∙ 01/06/2020

Generating Semantic Adversarial Examples via Feature Manipulation

The vulnerability of deep neural networks to adversarial attacks has bee...

Shuo Wang, et al. ∙

research

∙ 12/01/2021

Point Cloud Segmentation Using Sparse Temporal Local Attention

Point clouds are a key modality used for perception in autonomous vehicl...

Joshua Knights, et al. ∙

research

∙ 01/18/2021

Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation

Federated learning (FL), as a distributed machine learning paradigm, pro...

Jun Li, et al. ∙

research

∙ 09/24/2019

COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference

The process of automatic generation of a road map from GPS trajectories,...

Arian Prabowo, et al. ∙

research

∙ 07/04/2020

RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network

Generative adversarial network (GAN) has attracted increasing attention ...

Chuan Ma, et al. ∙

research

∙ 01/18/2020

OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning

Anomaly detection aims to recognize samples with anomalous and unusual p...

Shuo Wang, et al. ∙

research

∙ 04/17/2020

Conservative Plane Releasing for Spatial Privacy Protection in Mixed Reality

Augmented reality (AR) or mixed reality (MR) platforms require spatial u...

Jaybie A. de Guzman, et al. ∙

research

∙ 06/24/2020

DeepMnemonic: Password Mnemonic Generation via Deep Attentive Encoder-Decoder Model

Strong passwords are fundamental to the security of password-based user ...

Yao Cheng, et al. ∙

research

∙ 05/14/2022

Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging

Modern data-driven machine learning research that enables revolutionary ...

David Ahmedt-Aristizabal, et al. ∙

research

∙ 03/29/2022

Assessing Evolutionary Terrain Generation Methods for Curriculum Reinforcement Learning

Curriculum learning allows complex tasks to be mastered via incremental ...

David Howard, et al. ∙

research

∙ 01/17/2019

Evolving embodied intelligence from materials to machines

Natural lifeforms specialise to their environmental niches across many l...

David Howard, et al. ∙

research

∙ 07/03/2018

Local Gradients Smoothing: Defense against localized adversarial attacks

Deep neural networks (DNNs) have shown vulnerability to adversarial atta...

Muzammal Naseer, et al. ∙

research

∙ 04/01/2019

PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study

This paper introduces a newly collected and novel dataset (StereoMSI) fo...

Mehrdad Shoeiby, et al. ∙

research

∙ 12/06/2019

Perspective-consistent multifocus multiview 3D reconstruction of small objects

Image-based 3D reconstruction or 3D photogrammetry of small-scale object...

Hengjia Li, et al. ∙

research

∙ 05/10/2020

Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy

Traditional tensor decomposition methods, e.g., two dimensional principa...

Miaohua Zhang, et al. ∙

research

∙ 09/19/2021

Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance

Federated Learning (FL), Split Learning (SL), and SplitFed Learning (SFL...

Praveen Joshi, et al. ∙

research

∙ 06/06/2022

Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data

Recently, Self-Supervised Representation Learning (SSRL) has attracted m...

Shohreh Deldari, et al. ∙

research

∙ 09/05/2019

Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network

This paper introduces a novel method to simultaneously super-resolve and...

Mehrdad Shoeiby, et al. ∙

research

∙ 05/10/2021

Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design

Owing to the low communication costs and privacy-promoting capabilities,...

Chuan Ma, et al. ∙

research

∙ 04/28/2020

Inferring Temporal Compositions of Actions Using Probabilistic Automata

This paper presents a framework to recognize temporal compositions of at...

Rodrigo Santa Cruz, et al. ∙

research

∙ 07/17/2019

Diving Deeper into Underwater Image Enhancement: A Survey

The powerful representation capacity of deep learning has made it inevit...

Saeed Anwar, et al. ∙

research

∙ 06/11/2018

Multi-Agent Path Finding with Deadlines

We formalize Multi-Agent Path Finding with Deadlines (MAPF-DL). The obje...

Hang Ma, et al. ∙

research

∙ 10/11/2018

Towards the Targeted Environment-Specific Evolution of Robot Components

This research considers the task of evolving the physical structure of a...

Jack Collins, et al. ∙

research

∙ 10/22/2018

The Bregman chord divergence

Distances are fundamental primitives whose choice significantly impacts ...

Frank Nielsen, et al. ∙

research

∙ 06/24/2019

A Comparative Review of Recent Kinect-based Action Recognition Algorithms

Video-based human action recognition is currently one of the most active...

Lei Wang, et al. ∙

research

∙ 08/08/2019

Image Captioning using Facial Expression and Attention

Benefiting from advances in machine vision and natural language processi...

Omid Mohamad Nezami, et al. ∙

research

∙ 09/17/2019

Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network

This paper introduces a novel method to super-resolve multi-spectral ima...

Mehrdad Shoeiby, et al. ∙

research

∙ 03/17/2022

deepNIR: Datasets for generating synthetic NIR images and improved fruit detection system using deep learning techniques

This paper presents datasets utilised for synthetic near-infrared (NIR) ...

Inkyu Sa, et al. ∙

research

∙ 08/25/2021

Blind Image Decomposition

We present and study a novel task named Blind Image Decomposition (BID),...

Junlin Han, et al. ∙

research

∙ 03/24/2020

Scalable learning for bridging the species gap in image-based plant phenotyping

The traditional paradigm of applying deep learning – collect, annotate a...

Daniel Ward, et al. ∙

research

∙ 02/03/2022

Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm

The development of Intelligent Cyber-Physical Systems (ICPSs) in virtual...

Peiying Zhang, et al. ∙

research

∙ 05/31/2022

CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping

We present a simple method, CropMix, for the purpose of producing a rich...

Junlin Han, et al. ∙

research

∙ 06/28/2019

Densely Residual Laplacian Super-Resolution

Super-Resolution convolutional neural networks have recently demonstrate...

Saeed Anwar, et al. ∙

research

∙ 09/04/2009

A Monte Carlo AIXI Approximation

This paper introduces a principled approach for the design of a scalable...

Joel Veness, et al. ∙

research

∙ 09/12/2012

Probabilities on Sentences in an Expressive Logic

Automated reasoning about uncertain knowledge has many applications. One...

Marcus Hutter, et al. ∙

research

∙ 06/27/2011

Dominating Manipulations in Voting with Partial Information

We consider manipulation problems when the manipulator only has partial ...

Vincent Conitzer, et al. ∙

research

∙ 06/21/2016

Neighborhood Mixture Model for Knowledge Base Completion

Knowledge bases are useful resources for many natural language processin...

Dat Quoc Nguyen, et al. ∙

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