CSIRO

∙ Reid , Australia ∙ 0 followers

The Commonwealth Scientific and Industrial Research Organisation is an independent Australian federal government agency responsible for scientific research.

Featured Researchers

Chunhua Shen
245 publications
Jian Zhang
114 publications
Peng Wang
99 publications
Toby Walsh
85 publications
Mathieu Salzmann
85 publications
Lei Wang
83 publications
Chang Xu
76 publications
Yi Li
73 publications
Fatih Porikli
53 publications
Ke Sun
48 publications
Ming Ding
46 publications

Deep Learning for Community Detection: Progress, Challenges and Opportunities

As communities represent similar opinions, similar functions, similar pu...
05/17/2020 ∙ by Fanzhen Liu, et al. ∙ 66 ∙ share

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

We consider the problem of publicly releasing a dataset for support vect...
12/29/2019 ∙ by Farhad Farokhi, et al. ∙ 43 ∙ share

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

In recent years, the emerging topics of recommender systems that take ad...
04/28/2020 ∙ by Dai Hoang Tran, et al. ∙ 37 ∙ share

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

Scene understanding of high resolution aerial images is of great importa...
04/01/2019 ∙ by Foivos I. Diakogiannis, et al. ∙ 34 ∙ share

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A Deep Journey into Super-resolution: A survey

Deep convolutional networks based super-resolution is a fast-growing fie...
04/16/2019 ∙ by Saeed Anwar, et al. ∙ 28 ∙ share

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Loss Guided Activation for Action Recognition in Still Images

One significant problem of deep-learning based human action recognition ...
12/11/2018 ∙ by Lu Liu, et al. ∙ 24 ∙ share

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Hybrid Loss for Learning Single-Image-based HDR Reconstruction

This paper tackles high-dynamic-range (HDR) image reconstruction given o...
12/18/2018 ∙ by Kenta Moriwaki, et al. ∙ 16 ∙ share

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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...
09/30/2019 ∙ by Kartik Gupta, et al. ∙ 16 ∙ share

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On the Complexity of Breaking Symmetry

We can break symmetry by eliminating solutions within a symmetry class t...
05/16/2020 ∙ by Toby Walsh, et al. ∙ 16 ∙ share

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Generating Semantic Adversarial Examples via Feature Manipulation

The vulnerability of deep neural networks to adversarial attacks has bee...
01/06/2020 ∙ by Shuo Wang, et al. ∙ 15 ∙ share

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COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference

The process of automatic generation of a road map from GPS trajectories,...
09/24/2019 ∙ by Arian Prabowo, et al. ∙ 13 ∙ share

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

Generative adversarial network (GAN) has attracted increasing attention ...
07/04/2020 ∙ by Chuan Ma, et al. ∙ 13 ∙ share

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

Anomaly detection aims to recognize samples with anomalous and unusual p...
01/18/2020 ∙ by Shuo Wang, et al. ∙ 12 ∙ share

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Conservative Plane Releasing for Spatial Privacy Protection in Mixed Reality

Augmented reality (AR) or mixed reality (MR) platforms require spatial u...
04/17/2020 ∙ by Jaybie A. de Guzman, et al. ∙ 12 ∙ share

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

Strong passwords are fundamental to the security of password-based user ...
06/24/2020 ∙ by Yao Cheng, et al. ∙ 12 ∙ share

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Evolving embodied intelligence from materials to machines

Natural lifeforms specialise to their environmental niches across many l...
01/17/2019 ∙ by David Howard, et al. ∙ 10 ∙ share

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Local Gradients Smoothing: Defense against localized adversarial attacks

Deep neural networks (DNNs) have shown vulnerability to adversarial atta...
07/03/2018 ∙ by Muzammal Naseer, et al. ∙ 8 ∙ share

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

This paper introduces a newly collected and novel dataset (StereoMSI) fo...
04/01/2019 ∙ by Mehrdad Shoeiby, et al. ∙ 8 ∙ share

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Perspective-consistent multifocus multiview 3D reconstruction of small objects

Image-based 3D reconstruction or 3D photogrammetry of small-scale object...
12/06/2019 ∙ by Hengjia Li, et al. ∙ 8 ∙ share

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Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy

Traditional tensor decomposition methods, e.g., two dimensional principa...
05/10/2020 ∙ by Miaohua Zhang, et al. ∙ 8 ∙ share

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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...
09/05/2019 ∙ by Mehrdad Shoeiby, et al. ∙ 7 ∙ share

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Inferring Temporal Compositions of Actions Using Probabilistic Automata

This paper presents a framework to recognize temporal compositions of at...
04/28/2020 ∙ by Rodrigo Santa Cruz, et al. ∙ 6 ∙ share

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Diving Deeper into Underwater Image Enhancement: A Survey

The powerful representation capacity of deep learning has made it inevit...
07/17/2019 ∙ by Saeed Anwar, et al. ∙ 5 ∙ share

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Multi-Agent Path Finding with Deadlines

We formalize Multi-Agent Path Finding with Deadlines (MAPF-DL). The obje...
06/11/2018 ∙ by Hang Ma, et al. ∙ 4 ∙ share

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Towards the Targeted Environment-Specific Evolution of Robot Components

This research considers the task of evolving the physical structure of a...
10/11/2018 ∙ by Jack Collins, et al. ∙ 4 ∙ share

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The Bregman chord divergence

Distances are fundamental primitives whose choice significantly impacts ...
10/22/2018 ∙ by Frank Nielsen, et al. ∙ 4 ∙ share

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A Comparative Review of Recent Kinect-based Action Recognition Algorithms

Video-based human action recognition is currently one of the most active...
06/24/2019 ∙ by Lei Wang, et al. ∙ 4 ∙ share

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Image Captioning using Facial Expression and Attention

Benefiting from advances in machine vision and natural language processi...
08/08/2019 ∙ by Omid Mohamad Nezami, et al. ∙ 4 ∙ share

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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...
09/17/2019 ∙ by Mehrdad Shoeiby, et al. ∙ 4 ∙ share

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

The traditional paradigm of applying deep learning – collect, annotate a...
03/24/2020 ∙ by Daniel Ward, et al. ∙ 2 ∙ share

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Densely Residual Laplacian Super-Resolution

Super-Resolution convolutional neural networks have recently demonstrate...
06/28/2019 ∙ by Saeed Anwar, et al. ∙ 1 ∙ share

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A Monte Carlo AIXI Approximation

This paper introduces a principled approach for the design of a scalable...
09/04/2009 ∙ by Joel Veness, et al. ∙ 0 ∙ share

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Probabilities on Sentences in an Expressive Logic

Automated reasoning about uncertain knowledge has many applications. One...
09/12/2012 ∙ by Marcus Hutter, et al. ∙ 0 ∙ share

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Dominating Manipulations in Voting with Partial Information

We consider manipulation problems when the manipulator only has partial ...
06/27/2011 ∙ by Vincent Conitzer, et al. ∙ 0 ∙ share

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Neighborhood Mixture Model for Knowledge Base Completion

Knowledge bases are useful resources for many natural language processin...
06/21/2016 ∙ by Dat Quoc Nguyen, et al. ∙ 0 ∙ share

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STransE: a novel embedding model of entities and relationships in knowledge bases

Knowledge bases of real-world facts about entities and their relationshi...
06/27/2016 ∙ by Dat Quoc Nguyen, et al. ∙ 0 ∙ share

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Early Observations on Performance of Google Compute Engine for Scientific Computing

Although Cloud computing emerged for business applications in industry, ...
12/23/2013 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Deep Image Smoothing based on Texture and Structure Guidance

Image smoothing is a fundamental task in computer vision, which aims to ...
12/07/2017 ∙ by Kaiyue Lu, et al. ∙ 0 ∙ share

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Sub-committee Approval Voting and Generalised Justified Representation Axioms

Social choice is replete with various settings including single-winner v...
11/16/2017 ∙ by Haris Aziz, et al. ∙ 0 ∙ share

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On Self-Adaptive Mutation Restarts for Evolutionary Robotics with Real Rotorcraft

Self-adaptive parameters are increasingly used in the field of Evolution...
03/31/2017 ∙ by Gerard David Howard, et al. ∙ 0 ∙ share

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Learning the Number of Neurons in Deep Networks

Nowadays, the number of layers and of neurons in each layer of a deep ne...
11/19/2016 ∙ by Jose M. Alvarez, et al. ∙ 0 ∙ share

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The Recurrent Temporal Discriminative Restricted Boltzmann Machines

The recurrent temporal restricted Boltzmann machine (RTRBM) has been suc...
10/06/2017 ∙ by Son N. Tran, et al. ∙ 0 ∙ share

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Soft Correspondences in Multimodal Scene Parsing

Exploiting multiple modalities for semantic scene parsing has been shown...
09/28/2017 ∙ by Sarah Taghavi Namin, et al. ∙ 0 ∙ share

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Learning Multi-frame Visual Representation for Joint Detection and Tracking of Small Objects

Deep convolutional and recurrent neural networks have delivered signific...
09/14/2017 ∙ by Ryota Yoshihashi, et al. ∙ 0 ∙ share

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Unsupervised Neural-Symbolic Integration

Symbolic has been long considered as a language of human intelligence wh...
06/06/2017 ∙ by Son N. Tran, et al. ∙ 0 ∙ share

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Capturing natural-colour 3D models of insects for species discovery

Collections of biological specimens are fundamental to scientific unders...
09/07/2017 ∙ by Chuong V. Nguyen, et al. ∙ 0 ∙ share

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Towards high-throughput 3D insect capture for species discovery and diagnostics

Digitisation of natural history collections not only preserves precious ...
09/07/2017 ∙ by Chuong Nguyen, et al. ∙ 0 ∙ share

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The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods

Motivated by the common academic problem of allocating papers to referee...
05/19/2017 ∙ by Jing Wu Lian, et al. ∙ 0 ∙ share

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Evolving Unipolar Memristor Spiking Neural Networks

Neuromorphic computing --- brainlike computing in hardware --- typically...
09/01/2015 ∙ by David Howard, et al. ∙ 0 ∙ share

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A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers

Learning Classifier Systems (LCS) are population-based reinforcement lea...
08/31/2015 ∙ by David Howard, et al. ∙ 0 ∙ share

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