ORCID Profile
0000-0002-9343-9535
Current Organisation
Australian National University
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Sensory Processes, Perception And Performance | Psychology | Interdisciplinary Engineering Not Elsewhere Classified | Computation Theory And Mathematics Not Elsewhere Classified | Neural Networks, Genetic Alogrithms And Fuzzy Logic | Computational Linguistics | Developmental Psychology And Ageing | Computer Software | Artificial Intelligence and Image Processing | Personality, Abilities And Assessment | Information Storage, Retrieval And Management | Software Engineering | Robotics And Mechatronics | Interdisciplinary Engineering | Computer Vision | Intelligent Robotics | Speech Recognition |
ANZSRC Socio-Economic Objective (SEO)
Information processing services | Application tools and system utilities | Injury control | Road safety | Automotive equipment | Behavioural and cognitive sciences | Computer software and services not elsewhere classified | Hearing, vision, speech and their disorders | Other social development and community services | Communication equipment not elsewhere classified | Other
Related Links
Publications
Continuous-Time Intensity Estimation Using Event Cameras
Publisher: Springer International Publishing
Date: 2019
Maximal Cliques Based Rigid Body Motion Segmentation with a RGB-D Camera
Publisher: Springer Berlin Heidelberg
Date: 2013
Regularized Discriminative Direction for Shape Difference Analysis
Publisher: Springer Berlin Heidelberg
Date: 2008
DOI: 10.1007/978-3-540-85988-8_75
Abstract: The "discriminative direction" has been proven useful to reveal the subtle difference between two anatomical shape classes. When a shape moves along this direction, its deformation will best manifest the class difference detected by a kernel classifier. However, we observe that such a direction cannot maintain a shape's "anatomical" correctness, introducing spurious difference. To overcome this drawback, we develop a regularized discriminative direction by requiring a shape to conform to its population distribution when it deforms along the discriminative direction. Instead of iterative optimization, an analytic solution is provided to directly work out this direction. Experimental study shows its superior performance in detecting and localizing the difference of hippoc al shapes for sex. The result is supported by other independent research in the same domain.
A packet age based LTE uplink packet scheduler for M2M traffic
Publisher: IEEE
Date: 12-2013
Uncertainty Inspired RGB-D Saliency Detection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Dynamic protocol timing adaptation for improved efficiency in IEEE 802.11 wireless LANs
Publisher: ACM
Date: 21-06-2009
Performance analysis of a time headway based rate control algorithm for VANET safety applications
Publisher: IEEE
Date: 12-2013
A QoS guaranteed energy optimized packet transmission technique for the IEEE802.11 WLAN
Publisher: IEEE
Date: 11-2013
Spectral-GANs for High-Resolution 3D Point-cloud Generation
Publisher: IEEE
Date: 24-10-2020
Network-based structure flow estimation
Publisher: IEEE
Date: 29-11-2020
Geometry to the Rescue: 3D Instance Reconstruction from a Cluttered Scene
Publisher: IEEE
Date: 06-2020
Impacts of impaired face perception on social interactions and quality of life in age-related macular degeneration: A qualitative study and new community resources.
Publisher: Public Library of Science (PLoS)
Date: 31-12-2018
Recursive Training for Zero-Shot Semantic Segmentation
Publisher: IEEE
Date: 18-07-2021
Reflection: An efficient technique for implementing an LTE based wireless network control system for smart grid and other applications
Publisher: IEEE
Date: 06-2013
Multimedia Transmission for Emergency Services in VANETs
Publisher: IEEE
Date: 09-2014
An adaptive buffer based semi-persistent scheduling scheme for machine-to-machine communications over LTE
Publisher: IEEE
Date: 09-2014
6LoWPAN based neighborhood area network for a smart grid communication infrastructure
Publisher: IEEE
Date: 07-2013
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes
Publisher: IEEE
Date: 03-2020
Adaptive Space Time - Time Division Multiple Access (AST-TDMA) protocol for an underwater swarm of AUV's
Publisher: IEEE
Date: 06-2013
A unified QoS-inspired load optimization framework for multiple access points based wireless LANs
Publisher: IEEE
Date: 04-2009
Performance evaluation of an adaptive semi-persistent LTE packet scheduler for M2M communications
Publisher: IEEE
Date: 12-2014
Wide area PMU communication over a WiMAX network in the smart grid
Publisher: IEEE
Date: 11-2012
Joint space-division multiple access and adaptive rate control for basic safety messages in VANETs
Publisher: IEEE
Date: 04-2014
An efficient data dissemination scheme for warning messages in vehicular ad hoc networks
Publisher: IGI Global
Date: 2013
DOI: 10.4018/978-1-4666-3902-7.CH021
Abstract: Vehicular ad hoc networks (VANETs) are expected to be used for the dissemination of emergency warning messages on the roads. The emergency warning messages such as post crash warning notification would require an efficient multi hop broadcast scheme to notify all the vehicles within a particular area about the emergency. Such emergency warning applications have low delay and transmission overhead requirements to effectively transmit the emergency notification. In this paper, an adaptive distance based backoff scheme is presented for efficient dissemination of warning messages on the road. The proposed scheme adaptively selects the furthest vehicle as the next forwarder of the emergency message based on channel conditions. The detailed performance figures of the protocol are presented in the paper using simulations in the OPNET network simulator. The proposed protocol introduces lower packet delay and broadcast overhead as compared to standard packet broadcasting protocols for vehicular networks.
Improving face identity perception in age-related macular degeneration via caricaturing
Publisher: Springer Science and Business Media LLC
Date: 12-10-2018
DOI: 10.1038/S41598-018-33543-3
Abstract: Patients with age-related macular degeneration (AMD) have difficulty recognising people’s faces. We tested whether this could be improved using caricaturing: an image enhancement procedure derived from cortical coding in a perceptual ‘face-space’. Caricaturing exaggerates the distinctive ways in which an in idual’s face shape differs from the average. We tested 19 AMD-affected eyes (from 12 patients ages 66–93 years) monocularly, selected to cover the full range of vision loss. Patients rated how different in identity people’s faces appeared when compared in pairs (e.g., two young men, both Caucasian), at four caricature strengths (0, 20, 40, 60% exaggeration). This task gives data reliable enough to analyse statistically at the in idual-eye level. All 9 eyes with mild vision loss (acuity ≥ 6/18) showed significant improvement in identity discrimination (higher dissimilarity ratings) with caricaturing. The size of improvement matched that in normal-vision young adults. The caricature benefit became less stable as visual acuity further decreased, but caricaturing was still effective in half the eyes with moderate and severe vision loss (significant improvement in 5 of 10 eyes at acuities from 6/24 to poorer than /360). We conclude caricaturing has the potential to help many AMD patients recognise faces.
Any-Shot Object Detection
Publisher: Springer International Publishing
Date: 2021
Preface
Publisher: Cambridge University Press
Date: 14-12-1995
Antifoaming effect of graphene oxide nanosheets in polymer-modified cement composites for enhanced microstructure and mechanical performance
Publisher: Elsevier BV
Date: 08-2022
Performance analysis of WiMAX polling service for smart grid meter reading applications
Publisher: IEEE
Date: 05-2012
Caricaturing can improve facial expression recognition in low-resolution images and age-related macular degeneration.
Publisher: Association for Research in Vision and Ophthalmology (ARVO)
Date: 19-06-2019
DOI: 10.1167/19.6.18
Abstract: Previous studies of age-related macular degeneration (AMD) report impaired facial expression recognition even with enlarged face images. Here, we test potential benefits of caricaturing (exaggerating how the expression's shape differs from neutral) as an image enhancement procedure targeted at mid- to high-level cortical vision. Experiment 1 provides proof-of-concept using normal vision observers shown blurred images as a partial simulation of AMD. Caricaturing significantly improved expression recognition (happy, sad, anger, disgust, fear, surprise) by ∼4%-5% across young adults and older adults (mean age 73 years) two different severities of blur high, medium, and low intensity of the original expression and all intermediate accuracy levels (impaired but still above chance). Experiment 2 tested AMD patients, running 19 eyes monocularly (from 12 patients, 67-94 years) covering a wide range of vision loss (acuities 6/7.5 to poorer than 6/360). With faces pre-enlarged, recognition approached ceiling and was only slightly worse than matched controls for high- and medium-intensity expressions. For low-intensity expressions, recognition of veridical expressions remained impaired and was significantly improved with caricaturing across all levels of vision loss by 5.8%. Overall, caricaturing benefits emerged when improvement was most needed, that is, when initial recognition of uncaricatured expressions was impaired.
Performance analysis of a city smart grid communication network based on the IEEE 802.16e standard
Publisher: IEEE
Date: 11-2013
Performance comparison of LTE FDD and TDD based Smart Grid communications networks for uplink biased traffic
Publisher: IEEE
Date: 11-2012
An Energy-Based Prior for Generative Saliency
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Unsupervised Primitive Discovery for Improved 3D Generative Modeling
Publisher: IEEE
Date: 06-2019
Silhouette-Assisted 3D Object Instance Reconstruction from a Cluttered Scene
Publisher: IEEE
Date: 10-2019
Performance analysis of a distributed 6LoWPAN network for the Smart Grid applications
Publisher: IEEE
Date: 04-2014
Energy efficient architecture for green handsets in next generation IP-based wireless networks
Publisher: IEEE
Date: 06-2011
Fast Image Reconstruction with an Event Camera
Publisher: IEEE
Date: 03-2020
Investigation of a short-range underwater acoustic communication channel for MAC protocol design
Publisher: IEEE
Date: 12-2010
Delay and Loss Due to Uplink Packet Scheduling in LTE Network
Publisher: Springer Berlin Heidelberg
Date: 2013
From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction
Publisher: IEEE
Date: 06-2020
Accuracy vs. complexity: A trade-off in visual question answering models
Publisher: Elsevier BV
Date: 12-2021
A Deep Journey into Super-resolution
Publisher: Association for Computing Machinery (ACM)
Date: 28-05-2020
DOI: 10.1145/3390462
Abstract: Deep convolutional networks–based super-resolution is a fast-growing field with numerous practical applications. In this exposition, we extensively compare more than 30 state-of-the-art super-resolution Convolutional Neural Networks (CNNs) over three classical and three recently introduced challenging datasets to benchmark single image super-resolution. We introduce a taxonomy for deep learning–based super-resolution networks that groups existing methods into nine categories including linear, residual, multi-branch, recursive, progressive, attention-based, and adversarial designs. We also provide comparisons between the models in terms of network complexity, memory footprint, model input and output, learning details, the type of network losses, and important architectural differences (e.g., depth, skip-connections, filters). The extensive evaluation performed shows the consistent and rapid growth in the accuracy in the past few years along with a corresponding boost in model complexity and the availability of large-scale datasets. It is also observed that the pioneering methods identified as the benchmarks have been significantly outperformed by the current contenders. Despite the progress in recent years, we identify several shortcomings of existing techniques and provide future research directions towards the solution of these open problems. Datasets and codes for evaluation are publicly available at aeed-anwar/SRsurvey.
Functional vision in the real-world environment with a second-generation (44-channel) suprachoroidal retinal prosthesis
Publisher: Association for Research in Vision and Ophthalmology (ARVO)
Date: 12-08-2021
DOI: 10.1167/TVST.10.10.7
Wireless body area network (WBAN) design techniques and performance evaluation
Publisher: Springer Science and Business Media LLC
Date: 16-10-2012
DOI: 10.1007/S10916-010-9605-X
Abstract: In recent years interest in the application of Wireless Body Area Network (WBAN) for patient monitoring applications has grown significantly. A WBAN can be used to develop patient monitoring systems which offer flexibility to medical staff and mobility to patients. Patients monitoring could involve a range of activities including data collection from various body sensors for storage and diagnosis, transmitting data to remote medical databases, and controlling medical appliances, etc. Also, WBANs could operate in an interconnected mode to enable remote patient monitoring using telehealth/e-health applications. A WBAN can also be used to monitor athletes' performance and assist them in training activities. For such applications it is very important that a WBAN collects and transmits data reliably, and in a timely manner to a monitoring entity. In order to address these issues, this paper presents WBAN design techniques for medical applications. We examine the WBAN design issues with particular emphasis on the design of MAC protocols and power consumption profiles of WBAN. Some simulation results are presented to further illustrate the performances of various WBAN design techniques.
Toward Deeper Understanding of Camouflaged Object Detection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2023
Distributed radio resource usage optimization of WLANs based on IEEE 1900.4 architecture
Publisher: IEEE
Date: 12-2009
CED: Color Event Camera Dataset
Publisher: IEEE
Date: 06-2019
Structural Edge Detection: A Dataset and Benchmark
Publisher: IEEE
Date: 12-2018
Caricaturing faces to improve identity recognition in low vision simulations: How effective is current-generation automatic assignment of landmark points?
Publisher: Public Library of Science (PLoS)
Date: 04-10-2018
Comparative performance analysis of dynamic load distribution algorithms in a multi-AP wireless network
Publisher: IEEE
Date: 2009
Double-Guided Filtering: Image Smoothing with Structure and Texture Guidance
Publisher: IEEE
Date: 11-2017
Oculomotor Responses to Dynamic Stimuli in a 44-Channel Suprachoroidal Retinal Prosthesis
Publisher: Association for Research in Vision and Ophthalmology (ARVO)
Date: 18-12-2020
DOI: 10.1167/TVST.9.13.31
A Second-Generation (44-Channel) Suprachoroidal Retinal Prosthesis: Interim Clinical Trial Results
Publisher: Association for Research in Vision and Ophthalmology (ARVO)
Date: 28-09-2021
On optimal network selection in a dynamic multi-RAT environment
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2010
Performance of WiMAX packet schedulers for multi-class traffic
Publisher: IEEE
Date: 09-2010
Representation Learning on Unit Ball with 3D Roto-translational Equivariance
Publisher: Springer Science and Business Media LLC
Date: 21-12-2019
Differential protection of microgrids over a WiMAX network
Publisher: IEEE
Date: 10-2013
Learning colon centreline from optical colonoscopy, a new way to generate a map of the internal colon surface
Publisher: Institution of Engineering and Technology (IET)
Date: 26-11-2019
From known to the unknown: Transferring knowledge to answer questions about novel visual and semantic concepts
Publisher: Elsevier BV
Date: 11-2020
Dense-Resolution Network for Point Cloud Classification and Segmentation
Publisher: IEEE
Date: 2021
PnP-3D: A Plug-and-Play for 3D Point Clouds
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Photo-Realistic Simulation of Road Scene for Data-Driven Methods in Bad Weather
Publisher: IEEE
Date: 10-2017
Cooperative radio resource management framework for future IP-based multiple radio access technologies environment
Publisher: Elsevier BV
Date: 05-2010
A MAC protocol for implanted devices communication in the MICS band
Publisher: IEEE
Date: 05-2013
OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos
Publisher: Springer International Publishing
Date: 2020
Vicinity Vision Transformer
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Predictive allocation of resources in the LTE uplink based on maximum likelihood estimation of event propagation characteristics for M2M applications
Publisher: IEEE
Date: 12-2014
Question-Agnostic Attention for Visual Question Answering
Publisher: IEEE
Date: 10-01-2021
Performance analysis of an adaptive rate-range control algorithm for VANET safety applications
Publisher: IEEE
Date: 02-2014
Polarity Loss: Improving Visual-Semantic Alignment for Zero-Shot Detection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
A predictive protection scheme based on adaptive synchrophasor communications
Publisher: IEEE
Date: 10-2013
Cognitive cooperation in wireless networks
Publisher: IGI Global
Date: 2013
DOI: 10.4018/978-1-4666-2919-6.CH067
Abstract: In recent years, vertical handover (VHO) has been identified as the primary vehicle to provision seamless mobility and quality of service (QoS) transparency for end-user in composite network. This allows end-user to enjoy ubiquitous connectivity in the most efficient way, irrespective of time and place, commonly known as always best connected. In this chapter, the authors introduce the notion of cognitive cooperation as a means to provide optimized VHO opportunistically in order to exploit the inherent heterogeneity that exists within such composite network to improve radio resource usage. Through the cognitive cooperation, the chapter proposes a distributed load adaptation strategy (LAS) framework which exploits the benefits of joint optimization, particularly between link adaptation and load adaptation on-demand. The authors advocate that such synergetic interactions between the physical layer (PHY) and medium access control (MAC) layer have advantages over the PHY approach based only on link adaptation. Comprehensive performance analyses show that the LAS framework arbitrates a QoS-balanced system in which statistical QoS guarantee for multimedia traffic can be provisioned and overall system capacity can be maximized.
Geometric Back-Projection Network for Point Cloud Classification
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Network Topologies for dual band (UWB - Transmit and Narrow Band-receive) wireless body area network
Publisher: ACM
Date: 2012
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
Publisher: Springer International Publishing
Date: 2020
Learning structure-aware semantic segmentation with image-level supervision
Publisher: IEEE
Date: 18-07-2021
Predictive resource allocation in the LTE uplink for event based M2M applications
Publisher: IEEE
Date: 06-2013
Real Image Denoising With Feature Attention
Publisher: IEEE
Date: 10-2019
Dynamic resource allocation in a LTE/WLAN heterogeneous network
Publisher: IEEE
Date: 10-2012
HOSO: Histogram of Surface Orientation for RGB-D Salient Object Detection
Publisher: IEEE
Date: 11-2017
A heterogeneous WiMAX-WLAN network for AMI communications in the smart grid
Publisher: IEEE
Date: 11-2012
A novel vehicular mobility modelling technique for developing ITS applications
Publisher: Institution of Engineering and Technology
Date: 2012
DOI: 10.1049/CP.2012.2090
Asynchronous Spatial Image Convolutions for Event Cameras
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Performance analysis of an LTE TDD based smart grid communications network for uplink biased traffic
Publisher: IEEE
Date: 12-2012
Efficient multimedia transmission using adaptive packet bursting for wireless LANs
Publisher: Elsevier BV
Date: 07-2009
Reducing the Sim-to-Real Gap for Event Cameras
Publisher: Springer International Publishing
Date: 2020
DSD: Depth Structural Descriptor for Edge-Based Assistive Navigation
Publisher: IEEE
Date: 10-2017
An update on retinal prostheses
Publisher: Elsevier BV
Date: 06-2020
Performance analysis of a tunable cost function based WLAN energy efficient packet transmission technique
Publisher: IEEE
Date: 08-2014
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
Publisher: IEEE
Date: 06-2020
Unsupervised Learning of Endoscopy Video Frames’ Correspondences from Global and Local Transformation
Publisher: Springer International Publishing
Date: 2018
Transductive Learning for Zero-Shot Object Detection
Publisher: IEEE
Date: 10-2019
A VANET based intelligent road traffic signalling system
Publisher: IEEE
Date: 11-2012
Power efficient ultra wide band based wireless body area networks with narrowband feedback path
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2014
DOI: 10.1109/TMC.2013.120
Caricaturing as a general method to improve poor face recognition: Evidence from low-resolution images, other-race faces, and older adults
Publisher: American Psychological Association (APA)
Date: 06-2019
DOI: 10.1037/XAP0000180
Abstract: There are multiple well-established situations in which humans' face recognition performance is poor, including for low-resolution images, other-race faces, and in older adult observers. Here we show that caricaturing faces-that is, exaggerating their appearance away from an average face-can provide a useful applied method for improving face recognition across all these circumstances. We employ a face-name learning task offering a number of methodological advantages (e.g., valid comparison of the size of the caricature improvement across conditions differing in overall accuracy). Across six experiments, we (a) extend previous evidence that caricaturing can improve recognition of low-resolution (blurred) faces (b) show for the first time that caricaturing improves recognition and perception of other-race faces and (c) show for the first time that caricaturing improves recognition in observers across the whole adult life span (testing older adults, M age = 71 years). In size, caricature benefits were at least as large where natural face recognition is poor (other-race, low resolution, older adults) as for the naturally best situation (own-race high-resolution faces in young adults). We discuss potential for practical applicability to improving face recognition in low-vision patients (age-related macular degeneration, bionic eye), security settings (police, passport control), eyewitness testimony, and prosopagnosia. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation
Publisher: IEEE
Date: 03-2018
Pilot protection schemes over a multi-service WiMAX network in the smart grid
Publisher: IEEE
Date: 06-2013
Radio resource management of composite wireless networks: Predictive and reactive approaches
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2012
DOI: 10.1109/TMC.2011.87
A comprehensive review of the application characteristics and traffic requirements of a smart grid communications network
Publisher: Elsevier BV
Date: 02-2013
An efficient MBMS content delivery scheme over the HSDPA network
Publisher: IEEE
Date: 02-2009
Deep Texture and Structure Aware Filtering Network for Image Smoothing
Publisher: Springer International Publishing
Date: 2018
3-D Shape Matching and Non-Rigid Correspondence for Hippocampi Based on Markov Random Fields
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2018
Adaptive Token Polling MAC Protocol for wireless underwater networks
Publisher: IEEE
Date: 02-2009
Performance analysis of VoIP services on the LTE network
Publisher: IEEE
Date: 11-2011
Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
3D Guided Weakly Supervised Semantic Segmentation
Publisher: Springer International Publishing
Date: 2021
Attention-Based Real Image Restoration
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
An integrated load balancing scheme for future wireless networks
Publisher: IEEE
Date: 02-2009
On dynamic load distribution algorithms for multi-AP WLAN under diverse conditions
Publisher: IEEE
Date: 04-2010
Key performance aspects of an LTE FDD based Smart Grid communications network
Publisher: Elsevier BV
Date: 03-2013
Learning RGB-D Salient Object Detection Using Background Enclosure, Depth Contrast, and Top-Down Features
Publisher: IEEE
Date: 10-2017
Learning Saliency from Single Noisy Labelling: A Robust Model Fitting Perspective
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Densely Residual Laplacian Super-Resolution
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Psychophysical Evaluation of a Tactile Display Based on Coin Motors
Publisher: Wiley
Date: 15-05-2018
DOI: 10.1111/AOR.13134
Abstract: Tactile vision substitution devices present visual images as tactile representations on the skin. In this study we have tested the performance of a prototype 96-tactor vibrotactile using a subset of 64 tactors. We have determined the tactile spatial acuity and intensity discrimination in 14 naïve subjects. Spatial acuity was determined using a grating acuity task. Subjects could successfully identify the orientation of horizontal and vertical gratings with an average psychophysical threshold of 120 mm. When diagonal gratings were included in the analysis, the median performance dropped below psychophysical threshold, but was still significantly above chance at gratings of 142 mm wide. Intensity discrimination yielded an average Weber fraction of 0.44, corresponding to 13 discernable "gray levels" in the available dynamic range. Interleaved stimulation of the motors did not significantly affect spatial acuity or intensity discrimination.
Bimodal Active Stereo Vision
Publisher: Springer Berlin Heidelberg
Date: 2006
Road Obstacle Detection Using Robust Model Fitting
Publisher: Springer Berlin Heidelberg
Date: 2006
Real-Time Regular Polygonal Sign Detection
Publisher: Springer Berlin Heidelberg
Date: 2006
Related Organisations
Related Funding Activities
Special Research Initiatives - Grant ID: SR1000005
Start Date: 03-2010
End Date: 12-2016
Amount: $50,000,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP0209969
Start Date: 2002
End Date: 12-2006
Amount: $370,808.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP0668078
Start Date: 12-2006
End Date: 03-2009
Amount: $289,000.00
Funder: Australian Research Council
View Funded ActivityResearch Networks - Grant ID: RN0460284
Start Date: 12-2004
End Date: 12-2010
Amount: $2,000,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP0349147
Start Date: 05-2004
End Date: 12-2007
Amount: $160,698.00
Funder: Australian Research Council
View Funded ActivitySpecial Research Initiatives - Grant ID: SR0354703
Start Date: 01-2004
End Date: 11-2004
Amount: $20,000.00
Funder: Australian Research Council
View Funded Activity