|Member Login

Publications

2014 Conference Papers [79]

Expanding the Family of Grassmannian Kernels: An Embedding Perspective

Harandi, M. T., Salzmann, M., Jayasumana, S., Hartley, R., Li, H. 2014. Expanding the family of grassmannian kernels: An embedding perspective. Computer Vision-ECCV 2014. Springer International Publishing. pp408-423

View more

DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking

*Li, H., Li, Y., & Porikli, F. DeepTrack: learning discriminative feature representations by convolutional neural networks for visual tracking, (multiple CNNs), British Machine Vision Conference (BMVC), 2014

View more

Lie-Struck: Affine Tracking on Lie Groups using Structured SVM

*Zhu, G, Porikli, F,. Ming, Y, & Li, H. Lie-Struck: affine tracking on Lie groups using structured SVM, IEEE Winter Applications and Computer Vision Conference (WACV), 2015

View more

Optimal Essential Matrix Estimation via Inlier-Set Maximization

Yang, J., Li, H., & Jia, Y. Optimal Essential Matrix Estimation via Inlier-Set Maximization. ECCV (1) 2014: 111-126

View more

CDnet 2014: An Expanded Change Detection Benchmark Dataset

*Wang, Y., Jodoin, P. M., Porikli, F., Konrad, J., Benezeth, Y., & Ishwar, P. CDnet 2014: an expanded change detection benchmark dataset , IEEE Change Detection Workshop (CDNet) in conjunction with CVPR, 2014

View more

Counting People by Clustering Person Detector Outputs

*Topkaya, S., Erdogan, H., & Porikli, F. Counting people by clustering person detector outputs, IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2014 (Best Poster Award)

View more

Sparse Dictionaries for Semantic Segmentation

*Tao, L., Porikli, F., & Vidal R. Sparse dictionaries for semantic segmentation, European Conference on Computer Vision (ECCV), 2014

View more

Fine-Grained Plant Classification Using Convolutional Neural Networks for Feature Extraction

Sünderhauf, N., McCool, C., Upcroft, B., Perez., T. (2014). Fine-Grained Plant Classification Using Convolutional Neural Networks for Feature Extraction. Proc. of ImageCLEF Workshop, International Conference of the CLEF Initiative, Sheffield, UK.

View more

Recycled Linear Classifiers for Multiclass Classification

*Soni, J. H., & Porikli, F. Recycled linear classifiers for multiclass classification, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014

View more

Determining Interacting Objects in Human-Centric Activities via Qualitative Spatio-Temporal Reasoning

Sokeh, H., Gould, S., & Renz, J. “Determining Interacting Objects in Human-Centric Activities via Qualitative Spatio-temporal Reasoning”. In Proceedings of the Asian Conference on Computer Vision (ACCV), 2014.

View more

Super-Resolving Noisy Images

*Singh, A., Porikli, F., & Ahuja, N. Super-resolving noisy images, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014

View more

Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-rank Matrices

*Shu, X., Porikli, F,. & Ahuja, N. Robust orthonormal subspace learning: efficient recovery of corrupted low-rank matrices, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014

View more

A Hybrid Loss for Multiclass and Structured Prediction

*Shi, Q., Reid, M., Caetano, T., van den Hengel, A., & Wang, Z. "A Hybrid Loss for Multiclass and Structured Prediction", IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 37(1): 2-12, 2015.

View more

Object Tracking via Non-Euclidean Geometry: A Grassmann Approach

*Sherazi, S. Object Tracking via non-Euclidean geometry: A Grassmann approach, IEEE Winter Conference on Applications of Computer Vision (WACV) 2014

View more

Hybrid Inference Optimization for Robust Pose Graph Estimation

Segal, A. & Reid, I. Hybrid Inference Optimization for Robust Pose Graph Estimation, International Conference on Intelligent Robots and Systems 2014

View more

Inspection of Pole-Like Structures Using a Vision-Controlled VTOL UAV and Shared Autonomy

*Sa, I., Hrabar, S., & Corke, P. “Inspection of pole-like structures using a vision-controlled vtol uav and sh autonomy,” in Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference pp. 4819–4826, Sept 2014.

View more

Novelty-Based Visual Obstacle Detection in Agriculture

Ross, P., English, A. R., Ball, D., Upcroft, B, Wyeth, G., & Corke, P., “Novelty-based visual obstacle dete in agriculture,” in Proc. IEEE Int. Conf. Robotics and Automation, pp. 1699–1705, 2014.

View more

A Method to Quantify a Descriptor’s Illumination Variance

Ross, P., English, A, Ball, D., & Corke, P., “A method to quantify a descriptor’s illumination variance Australian Conference on Robotics and Automation, 2014.

View more

3D Tracking of Multiple Objects with Identical Appearance using RGB-D Input

Ren, C., Prisacariu, V., Murray, D., & Reid, I. 3D Tracking of Multiple Objects with Identical Appearance using RGB-D Input, 3DV, Dec 2014

View more

All-Environment Visual Place Recognition with SMART

Pepperell, E., Corke, P., & Milford, M. “All-environment visual place recognition with smart,” in Proc. I Int. Conf. Robotics and Automation, pp. 1612–1618, 2014.

View more

Towards Vision-Based Pose- and Condition-Invariant Place Recognition along Routes

Pepperell, E., Corke, P., & Milford, M. "Towards Vision-Based Pose- and Condition-Invariant Place Recognition along Routes", 2014 Australasian Conference on Robotics and Automation

View more

Fast Rotation Search with Stereographic Projections for 3D Registration

Parra Bustos, A., Chin, T. J., & Suter, D. "Fast rotation search with stereographic projections for 3D registration" In Computer Vision and Pattern Recognition (CVPR) 2014.

View more

Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features

*Paisitkriangkrai, S., Shen, C., & van den Hengel, A. "Strengthening the effectiveness of pedestrian detection with spatially pooled features." European Conference on Computer Vision (ECCV'14). 2014.

View more

Local Refinement for Stereo Regularization

*Olsson, C., Ulen, J., & Eriksson, A. Local Refinement for Stereo Regularization International Conference on Pattern Recognition ICPR, Stockholm, 2014

View more

Empirical Modelling of Rolling Shutter Effect

*O’Sullivan, L. & Corke, P. “Empirical modelling of rolling shutter effect,” in Proc. IEEE Int. Conf. Rob and Automation, (Hong Kong), pp. 5277–5283, 2014.

View more

Detecting 3D Geometric Boundaries of Indoor Scenes Under Varying Lighting

*Ni, J., Marks, T. K., Tuzel, O., & Porikli, F. Detecting 3D geometric boundaries of indoor scenes under varying lighting, IEEE Winter Applications and Computer Vision Conference (WACV), 2014

View more

On Projective Reconstruction In Arbitrary Dimensions

*Nasihatkon, B., Hartley, R., & Trumpf, J. "On Projective Reconstruction In Arbitrary Dimensions", in Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pp477-484, 2014.

View more

Non-rigid Segmentation using Sparse Low Dimensional Manifolds and Deep Belief Networks

*Nascimento, J. & Carneiro, G. "Non-rigid Segmentation using Sparse Low dimensional Manifolds and Deep Belief Networks". CVPR 2014.

View more

A Unified Graphical Models Framework for Automated Human Embryo Tracking in Time Lapse Microscopy

Moussavi, F., Yu, W., Lorenzen, P., Oakley, J., Russakoff, D., & Gould, S., “A Unified Graphical Models Framework for Automated Human Embryo Tracking in Time Lapse Microscopy”. In Proceedings of the International Symposium on Biomedical Imaging (ISBI), 2014.

View more

Multiple Map Hypotheses for Planning and Navigating in Non-Stationary Environments

Morris, T, Dayoub, F., Corke, P., Wyeth, G., & Upcroft, B, “Multiple map hypotheses for planning navigating in non-stationary environments,” in Proc. IEEE Int. Conf. Robotics and Automation, pp. 2765–2 2014.

View more

Simultaneous Localization and Planning on Multiple Map Hypotheses

Morris, T, Dayoub, F., Corke, P., & Upcroft, B, “Simultaneous localization and planning on multiple hypotheses,” in Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference pp. 4531–4536, Sept 2014.

View more

Asymptotic Minimax Robust and Misspecified Lorden Quickest Change Detection For Dependent Stochastic Processes

Molloy, T., & Ford, J. J. “Asymptotic Minimax Robust and Misspecified Lorden Quickest Change Detection For Dependent Stochastic Processes”, in Proc. of FUSION 2014. 


View more

Looming Aircraft Threats: Shape-based Passive Ranging of Aircraft from Monocular Vision

Molloy, T. L., Ford, J & Mejias, L. Looming Aircraft Threats: Shape-based Passive Ranging of Aircraft from Monocular Vision, in Proc. of Australia Conference on Robotics and Automation (ACRA 2014), Dec. 2014. 


View more

Short-data Recursive HMM Parameter Estimation for Rapid Vision-based Aircraft Heading Estimation

Molloy, T. L., & Ford, J, “Short-data Recursive HMM Parameter Estimation For Rapid Vision-based Aircraft Heading Estimation””, accepted to appear in Proc. of Australian Control Conference (AUCC 2014), Nov. 2014. 


View more

Condition-Invariant, Top-Down Visual Place Recognition

Milford, M., Scheirer, W., Vig, E., Glover, A., Baumann, O., Mattingley, J., & Cox, D. "Condition-invariant, top-down visual place recognition", in Robotics and Automation (ICRA), 2014 IEEE International Conference on, pp.5571, 2014.

View more

Automated Sensory Data Alignment for Environmental and Epidermal Change Monitoring

*Milford, M., Firn, J., Beattie, J, Jacobson, A., Pepperell, E., Mason, E., Kimlin, M., & Dunbabin, M. "Automated Sensory Data Alignment for Environmental and Epidermal Change Monitoring", 2014 Australasian Conference on Robotics and Automation

View more

Featureless Visual Processing for SLAM in Changing Outdoor Environments

Milford, M., & George, A. (2014) Featureless visual processing for SLAM in changing outdoor environments. In Field and Service Robotics: Results of the 8th International Conference [Springer Tracts in Advanced Robotics, Volume 92], Springer, Matsushima, Japan, pp. 569-583.

View more

Improving Global Multi-target Tracking with Local Updates

*Milan, A., Gade, R., Dick, A., Moeslund, T. B., & Reid, I.. Improving Global Multi-target Tracking with Local Updates. Workshop on Visual Surveillance Re-Identification, held at European Conf. Computer Vision, 2014

View more

Long-Term Exploration & Tours for Energy Constrained Robots with Online Proprioceptive Traversability Estimation

Martin, S., & Corke, P., “Long-term exploration and tours for energy constrained robots with online pro ceptive traversability estimation,” in Proc. IEEE Int. Conf. Robotics and Automation, pp. 5778–5785, 2014

View more

Towards Training-Free Appearance-Based Localization: Probabilistic Models for Whole-Image Descriptors

Lowry, S., Wyeth, G. F., & Milford, M. J. "Towards training-free appearance-based localization: probabilistic models for whole-image descriptors", in Robotics and Automation (ICRA), 2014 IEEE International Conference on, pp711-717, 2014.

View more

Unsupervised Online Learning of Condition-Invariant Images for Place Recognition

Lowry, S., Wyeth, G. & Milford, M., "Unsupervised Online Learning of Condition-Invariant Images for Place Recognition", 2014 Australasian Conference on Robotics and Automation

View more

Transforming Morning to Afternoon using Linear Regression Techniques

Lowry, S., Milford, M. J., Wyeth, & G. F. "Transforming morning to afternoon using linear regression techniques", in Robotics and Automation (ICRA), 2014 IEEE International Conference on, pp.3950-3955, 2014.

View more

Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors

*Liu, L., Shen, C., Wang, L., van den Hengel, A., Wang, C. "Encoding high dimensional local features by sparse coding based Fisher vectors." Advances in Neural Information Processing Systems (NIPS'14). 2014.

View more

Joint Semantic and Geometric Segmentation of Videos with a Stage Model

Liu, B., He, X., & Gould, S., “Joint Semantic and Geometric Segmentation of Videos with a Stage Model”. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2014.

View more

Fast Supervised Hashing with Decision Trees for High-Dimensional Data

*Lin, G., Shen, C., Shi, Q., van den Hengel, A., & Suter, D. "Fast supervised hashing with decision trees for high-dimensional data". IEEE Conference on Computer Vision and Pattern Recognition (CVPR'14). 2014.

View more

Optimizing Ranking Measures for Compact Binary Code Learning

*Lin, G., Shen, C., & Wu, J. "Optimizing ranking measures for compact binary code learning". European Conference on Computer Vision (ECCV'14). 2014.

View more

Robust Online Visual Tracking with a Single Convolutional Neural Network

*Li, H., Li, Y., & Porikli, F. Robust online visual tracking with an single convolutional neural network, Asian Conference on Computer Vision (ACCV), 2014

View more

A Relaxation Method to Articulated Trajectory Reconstruction from Monocular Image Sequence

Li, B., Dai, Y., He, M., & van den Hengel, A. "A relaxation method to articulated trajectory reconstruction from monocular image sequence," in Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on, pp389-393, 2014.

View more

Text Recognition Approaches for Indoor Robotics: A Comparison

*Lam, O., Dayoub, F., Schulz, R., & Corke, P. “Text recognition approaches for indoor robotics : a compari" in Australasian Conference on Robotics & Automation (ACRA2014), (University of Melbourne, Melbo VIC), December 2014.

View more

UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability

*Kneip, L., Li, H., & Seo, Y. "UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability." ECCV (1) 2014: 127-142

View more

Efficient Computation of Relative Pose for Multi-Camera Systems

*Kneip, L., & Li, H. "Efficient Computation of Relative Pose for Multi-camera Systems." CVPR 2014: 446-453

View more

Null Space Clustering with Applications to Motion Segmentation and Face Clustering

*Ji, P., Zhong, Y., Li, H., & Salzmann, M. "Null space clustering with applications to motion segmentation and face clustering", IEEE International Conference on Image Processing 2014 (ICP 2014), Paris, France.

View more

Efficient Dense Subspace Clustering

*Ji, P., Salzmann, M., & Li, H. "Efficient dense subspace clustering." WACV 2014: 461-468

View more

Robust Motion Segmentation with Unknown Correspondences

*Ji, P., Li, H., Salzmann, M., & Dai, Y. "Robust Motion Segmentation with Unknown Correspondences." ECCV (6) 2014: 204-219

View more

Optimizing Over Radial Kernels on Compact Manifolds

*Jayasumana, S., Hartley, R., Salzmann, M., Li, H., Harandi, M. "Optimizing over radial kernels on compact manifolds", in 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2014.

View more

Analysis of the Inverse Kinematics Problem for 3-DOF Axis-Symmetric Parallel Manipulators with Parasitic Motion

*Isaksson, M., & Eriksson, A. Analysis of the Inverse Kinematics Problem for 3-DOF Axis-Symmetric Parallel Manipulators with Parasitic Motion IEEE International Conference on Robotics and Automation ICRA, Hong Kong, 2014.

View more

An Exemplar-based CRF for Multi-instance Object Segmentation

He, X., & Gould, S., “An Exemplar-based CRF for Multi-instance Object Segmentation”. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.

View more

Riemannian Manifolds, Kernels and Learning

Hartley, R. "Keynote lecture 2: Riemannian manifolds, kernels and learning", in 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Aug. 2014.

View more

Expanding the Family of Grassmannian Kernels: An Embedding Perspective

Harandi, M. T., Salzmann, M., Jayasumana, S., Hartley, R., & Li, H. Expanding the Family of Grassmannian Kernels: An Embedding Perspective. ECCV (7) 2014: 408-423

View more

From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices

*Harandi, M. T., Salzmann, M., & Hartley, R. "From manifold to manifold: geometry-aware dimensionality reduction for SPD matrices", in Computer Vision–ECCV 2014, pp17-32, 2014.

View more

Bregman Divergences for Infinite Dimensional Covariance Matrices

*Harandi, H., Salzmann, M., & Porikli, F. Bregman divergences for infinite dimensional covariance matrices, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014

View more

Automatic UAV Forced Landing Site Detection using Machine Learning

Guo, F, Fookes, C., Denman, S, Mejias, L, & Sridharan, S., “Automatic UAV Emergency Landing Site Detection using Support Vector Machine”, IEEE International Conference on Digital Image Computing Techniques and Applications, 2014.

View more

Superpixel Graph Label Transfer with Learned Distance Metric

Gould, S., Zhao, J, He, X., & Zhang, Y. “Superpixel Graph Label Transfer with Learned Distance Metric”. In Proceedings of the European Conference on Computer Vision (ECCV), 2014.

View more

Compressed sensing using hidden Markov models with application to vision based aircraft tracking

Ford, J. J., Molloy, T. L., & Hall, J. L. “Compressed sensing using hidden Markov models with application to vision based aircraft tracking”, in Proc. of FUSION 2014. 


View more

Material Classification on Symmetric Positive Definite Manifolds

*Faraki, M., Harandi, M., & Porikli, F. Material classification on symmetric positive definite manifolds, IEEE Winter Applications and Computer Vision Conference (WACV), 2015

View more

High Breakdown Bundle Adjustment

*Eriksson, A., Isaksson, M., & Chin, T-J. High-Breakdown Bundle Adjustment, IEEE Winter Conference on Applications of Computer Vision WACV 2015.

View more

Pseudoconvex Proximal Splitting for L∞ Problems in Multiview Geometry

*Eriksson, A., & Isaksson, M. Pseudoconvex Proximal Splitting. Conference on Computer Vision and Pattern Recognition. CVPR, Columbus, USA, 2014.

View more

Vision Based Guidance for Robot Navigation in Agriculture

English, A. R., Ross, P., Ball, D., & Corke, P. “Vision based guidance for robot navigation in agriculture Proc. IEEE Int. Conf. Robotics and Automation, pp. 1693–1698, 2014.

View more

Low rank or nuclear-norm minimization: Are we solving the right problem?

Dai, Y., & Li, H. Rank Minimization or Nuclear-Norm Minimization: Are We Solving the Right Problem? DICTA 2014: 1-8

View more

Classification and Boosting with Multiple Collaborative Representations

*Chi, Y., & Porikli, F,. Classification and boosting with multiple collaborative representations, IEEE Transaction on Pattern Recognition and Machine Intelligence (PAMI), August 2014

View more

Multi-Scale Bio-inspired Place Recognition

*Chen, Z.; Jacobson, A., Erdem, U. M., Hasselmo, M. E., Milford, M. "Multi-scale bio-inspired place recognition", in Robotics and Automation (ICRA), 2014 IEEE International Conference on, pp.1895-1901, 2014.

View more

Convolutional Neural Network-based Place Recognition

*Chen, Z., Lam, O., Jacobson, A., & Milford, M., "Convolutional Neural Network-based Place Recognition", 2014 Australasian Conference on Robotics and Automation

View more

Context Based Re-ranking for Object Retrieval

Chen, Y., Dick, A., Li, X. Context Based Re-ranking for Object Retrieval. Proc. Asian Conf. Computer Vision, 2014.

View more

Artistic Image Analysis using the Composition of Human Figures

*Chen, Q., & Carneiro, G. "Artistic Image Analysis using the Composition of Human Figures." ECCV 2014 Workshop. Springer ISBN 978-3-319-16177-8

View more

A fast, modular scene understanding system using context-aware object detection

Cadena, C., Dick, A., & Reid, I.. A Fast Modular Scene Understanding System using Context-Aware Object Detection, accepted for International Conference on Robotics and Automation, 2015

View more

Biologically inspired slam using wi-fi

Berkvens, R.; Jacobson, A., Milford, M., Peremans, H., & Weyn, M. "Biologically inspired SLAM using Wi-Fi", in Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on, pp1804-1811, 2014

View more

Fully automated non-rigid segmentation with distance regularized level set evolution initialized and constrained by deep-structured inference

*Anh Ngo, T. & Carneiro, G. "Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Cosntrained by Deep-structured Inference." CVPR 2014.

View more

Local inter-session variability modelling for object classification

*Anantharajah, K., Ge, Z., McCool, C., Denman, S., Fookes, C., Corke, P., Tjondronegoro, D., & Sridharan, S. “Local inter-session variability modelling for object classification.”, IEEE Winter Conference on Applications of Computer Vision (WACV), 2014.

View more

Local inter-session variability modelling for object classification

*Anantharajah, K., Ge, Z., McCool, C., Denman, S., Fookes, C., Corke, P., Tjondronegoro, D., & Sridharan, S. “Local inter-session variability modelling for object classification.”, IEEE Winter Conference on Applications of Computer Vision (WACV), 2014.

View more

Australian Centre for Robotic Vision
2 George Street Brisbane, 4001
+61 7 3138 7549