|Member Login

Publications

2014 All Categories [136]

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

Fast Approximate L ∞ Minimization: Speeding Up Robust Regression

Shen, F., Shen, C., Hill, R., van den Hengel, A., Tang, Z. "Fast approximate L∞ minimization: Speeding up robust regression", in Computational Statistics & Data Analysis, vol.77, pp.25-37. 2014.

View more

An Efficient Dual Approach to Distance Metric Learning

Shen, C., Kim, J., Liu, F., Wang, L., & van den Hengel, A. "Efficient dual approach to distance metric learning," in Neural Networks and Learning Systems, IEEE Transactions on, vol. 25, no. 2, pp. 394-406, 2014.

View more

Interacting Geometric Priors For Robust Multimodel Fitting

Pham, T. T., Chin, T. J., Schindler, K., & Suter, D. "Interacting geometric priors for robust multi-model fitting", in IEEE Transactions on Image Processing (TIP), 23(10):4601-4610, Oct 2014.

View more

Five-Dimensional (5-D) Depth-Velocity Filtering for Enhancing Moving Objects in Light Field Videos

*Edussooriya, C., Dansereau, D., Bruton, L., & Agathoklis, P. 2015. "Five-Dimensional (5-D) Depth-Velocity Filtering for Enhancing Moving Objects in Light Field Videos." IEEE Transactions on Signal Processing (TSP).

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

Enhancing Moving Objects in Light Field Videos Using 5-D IIR Adaptive Depth-Velocity Filters

Edussooriya, C., Dansereau, D., Bruton, L., & Agathoklis, P. 2015. "Five-Dimensional (5-D) Depth-Velocity Filtering for Enhancing Moving Objects in Light Field Videos." IEEE Transactions on Signal Processing (TSP).

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

Visual tracking via weakly supervised learning from multiple imperfect oracles

Zhong, B., Yao, H., Chen, S., Ji, R., Chin, T. J., & Wang, H. "Visual tracking via weakly supervised learning from multiple imperfect oracles", in Pattern Recognition (PR), 47(3):1395-1410, Mar 2014.

View more

As-Projective-As-Possible Image Stitching with Moving DLT

Zaragoza, J., Chin, T. J., Tran, Q. H., Brown, M. S., & Suter, D. "As-projective-as-possible image stitching with Moving DLT", in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 36(7):1285-1298, July 2014.

View more

An Adversarial Optimization Approach to Efficient Outlier Removal

*Yu, J., Eriksson, A., Chin, T. J., & Suter, D. "An adversarial optimization approach to efficient outlier removal", in Journal of Mathematical Imaging and Vision (JMIV), 48(3): 451-466, Mar 2014.

View more

Multi-subregion based correlation filter bank for robust face recognition

Yan, Y., Wang, H., & Suter, D., “Multi-subregion based correlation filter bank for robust face recognition,” PATTERN RECOGNITION, vol. 47, no. 11, pp. 3487–3501, Nov. 2014.


View more

Efficient Semidefinite Spectral Clustering via Lagrange Duality

Yan, Y., Shen, C., & Wang, H. Efficient semidefinite spectral clustering via Lagrange duality. IEEE Transactions on Image Processing. volume: 23, number: 8, pages: 3522--3534. 2014.

View more

Long-range stereo visual odometry for extended altitude flight of unmanned aerial vehicles

*Warren, M., Corke, P., & Upcroft, B. “Long-range stereo visual slam for extended altitude flight of UAVs,” J. Robotics Research, (accepted).

View more

Vision-Based Cooperative Pose Estimation for Localization in Multi-Robot Systems Equipped with RGB-D Cameras

*Wang, X., Sekercioglu, Y. A., & Drummond, T. 2014. "Vision-Based Cooperative Pose Estimation for Localization in Multi-Robot Systems Equipped with RGB-D Cameras. Sensors Journal (Coordination of Robotics Systems special issue).

View more

A Hierarchical Word-Merging Algorithm with Class Separability Measure

Wang, L., Zhou, L., Shen, C., Liu, L., & Liu, H. A hierarchical word-merging algorithm with class separability measure. IEEE Transactions on Pattern Analysis and Machine Intelligence. volume: 36, number: 3, pages: 417--435. 2014.

View more

Sampling Minimal Subsets with Large Spans for Robust Estimation

Tran, Q. H., Chin, T. J., Chojnacki, W. & Suter, D. "Sampling minimal subsets with large spans for robust estimation", in International Journal on Computer Vision (IJCV), 106(1):93-112, Jan 2014.

View more

Sampson Distance Based Joint Estimation of Multiple Homographies with Uncalibrated Cameras

*Szpak, Z. L., Chojnacki, W., Eriksson, A., & van den Hengel, A. "Sampson distance based joint estimation of multiple homographies with uncalibrated cameras," in Computer Vision and Image Understanding, vol. 125, pp200-213, 2014,

View more

Guaranteed Ellipse Fitting with a Confidence Region and an Uncertainty Measure for Centre, Axes, and Orientation

Szpak, Z. L., Chojnacki, W., & van den Hengel, A. "Guaranteed Ellipse Fitting with a Confidence Region and an Uncertainty Measure for Centre, Axes, and Orientation", in Journal of Mathematical Imaging and Vision, 27 Jan 2014

View more

General, Nested, and Constrained Wiberg Minimization

*Strelow, D., Wang, Q., Si, L., & Eriksson, A. General, Nested, and Constrained Wiberg Minimization. To appear, under revision. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014.

View more

Fast Approximate L ∞ Minimization: Speeding Up Robust Regression

Shen, F., Shen, C., Hill, R., van den Hengel, A., & Tang, Z. Fast approximate l∞ minimization: Speeding up robust regression. Computational Statistics and Data Analysis. volume: 77, pages: 25--37. 2014.

View more

StructBoost: Boosting Methods for Predicting Structured Output Variables

*Shen, C., Lin, G., & van den Hengel, A. StructBoost: Boosting methods for predicting structured output variables. IEEE Transactions on Pattern Analysis and Machine Intelligence. volume: 36, number: 10, pages: 2089--2103. 2014.

View more

An Efficient Dual Approach to Distance Metric Learning

Shen, C., Kim, J., Liu, F., Wang, L., & van den Hengel, A. "Efficient dual approach to distance metric learning," in Neural Networks and Learning Systems, IEEE Transactions on, vol. 25, no. 2, pp. 394-406, 2014.

View more

Multi-Target Tracking with Time-Varying Clutter Rate and Detection Profile: Application to Time-lapse Cell Microscopy Sequences

Rezatofighi, S., Gould, S., Vo, B., Mele, K., & Hartley, R. Multi-Target Tracking with Time-Varying Clutter Rate and Detection Profile: Application to Time-lapse Cell Microscopy Sequences. Medical Imaging, IEEE Transactions on , vol. PP , no. 99, p1, 12 Jan 2015.

View more

Regressing Local to Global Shape Properties for Online Segmentation and Tracking

Ren, C. Y., Prisacariu, V., & Reid, I. Regressing local to global shape properties for online segmentation and tracking. International Journal of Computer Vision. Vol 106. No 3. Pages 269-281. 2014

View more

Clustering with Hypergraphs: The Case for Large Hyperedges

Purkait, P., Chin, T. J., Suter, D., & Ackermann, H. “Clustering with hypergraphs: The case for large hyperedges,” (ECCV2014) in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, vol. 8692 LNCS, pp. 672– 687.

View more

The Random Cluster Model for Robust Geometric Fitting

Pham, T. T., Chin, T. J., Yu, J., & Suter, D. "The random cluster model for robust geometric fitting", in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 36(8):1658-1671, Aug 2014.

View more

Interacting Geometric Priors For Robust Multimodel Fitting

Pham, T. T., Chin, T. J., Schindler, K., & Suter, D. "Interacting geometric priors for robust multi-model fitting", in IEEE Transactions on Image Processing (TIP), 23(10):4601-4610, Oct 2014.

View more

RandomBoost: Simplified Multi-class Boosting through Randomization

Paisitkriangkrai, S., Shen, C., Shi, Q., & van den Hengel, A. "RandomBoost: simplified multiclass boosting through randomization," Neural Networks and Learning Systems, IEEE Transactions on, vol. 25, no.4, pp.764-779, 2014.

View more

Asymmetric Pruning For Learning Cascade Detectors

Paisitkriangkrai, S., Shen, C., & van den Hengel, A. Asymmetric pruning for learning cascade detectors. IEEE Transactions on Multimedia. volume: 16, number: 5, pages: 1254--1267. 2014.

View more

A Scalable Stagewise Approach to Large-Margin Multiclass Loss-Based Boosting

Paisitkriangkrai, S., Shen, C., & van den Hengel, A. "A Scalable Stagewise Approach to Large-Margin Multiclass Loss-Based Boosting," in Neural Networks and Learning Systems, IEEE Transactions on, vol. 25, pg. 5, pp. 1002-1013. 2014.

View more

Large-margin Learning of Compact Binary Image Encodings

Paisitkriangkrai, S., & Shen, C. "Large-margin learning of compact binary image encodings", in Image Processing, IEEE Transactions on, vol. 23, no.9, pp.4041-4054, Sept 2014.

View more

Compass Rose: A Rotational Robust Signature for Optical Flow

Niu, Y., Dick, A., & Brooks, M. Compass Rose: A Rotational Robust Signature for Optical Flow. Computation IEEE Transactions on Circuits and Systems for Video Technology, Vol 24, Issue 1, 2014.

View more

Superpixel-based Appearance Change Prediction for Long-Term Navigation Across Seasons

Neubert, P., Sünderhauf, N., Protzel, P. (2014). Superpixel-based Appearance Change Prediction for Long-Term Navigation Across Seasons. Robotics and Autonomous Systems Journal.

View more

Vision‐based Simultaneous Localization and Mapping in Changing Outdoor Environments

Milford, M., Vig, E., Scheirer, W., & Cox, D. "Vision‐based Simultaneous Localization and Mapping in Changing Outdoor Environments", in Journal of Field Robotics, vol. 31, no. 5, pp780-802, 2014.

View more

Principles of goal-directed spatial robot navigation in biomimetic models

Milford, M., & Schulz, R. "Principles of goal-directed spatial robot navigation in biomimetic models", in Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 369, no. 1655, pp20130484, 2014.

View more

Visual Predictive Control of Spiral Motion

*Mcfadyen, A., Corke, P., & Mejias, L. “Visual predictive control of spiral motion,” Robotics, IEEE Transac on, vol. PP, no. 99, pp. 1–14, 2014.

View more

An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells

*Lu, Z., Carneiro, G., & Bradley, A. P. An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells. Accepted for Publication by IEEE TIP in DEC 2014.

View more

Multiple kernel clustering based on centered kernel alignment

Lu, Y., Wang, L., Lu, J., Yang, J., & Shen, C. Multiple kernel clustering based on centered kernel alignment. Pattern Recognition. volume: 47, number: 11, pages: 3656--3664. 2014.

View more

Optimal Camera Planning under Versatile User Constraints in Multi-camera Image Processing Systems

Liu, J., Sridharan, S., Fookes, C., & Wark, T. “Optimal Camera Planning under Versatile User Constraints in Multi-camera Image Processing Systems”, IEEE Transactions on Image Processing, Vol. 23, No. 1, pp.171-184, January 2014. [2013 IF: 3.111; 5Yr IF: 3.925]

View more

Multiple Kernel Learning in the Primal for Multi-modal Alzheimer’s Disease Classification

Liu, F., Zhou, L., Shen, C., Yin, J. Multiple kernel learning in the primal for multi-modal Alzheimer's disease classification. IEEE Journal of Biomedical and Health Informatics. 2014. [Online published at IEEE: 10 October 2013]

View more

Characterness: An Indicator of Text in the Wild

Li, Y., Jia, W., Shen, C., & van den Hengel, A. Characterness: An indicator of text in the wild. IEEE Transactions on Image Processing. volume: 23, number: 4, pages: 1666--1677. 2014.

View more

Context-Aware Hypergraph Construction for Robust Spectral Clustering

Li, X., Hu, W., Shen, C., Dick, A., & Zhang, Z. Context-aware hypergraph construction for robust spectral clustering. IEEE Transactions on Knowledge and Data Engineering. volume: 26, number: 10, pages: 2588--2597. 2014.

View more

Recognizing Gaits Across Views Through Correlated Motion Co-Clustering

Kusakunniran, W., Wu, Q., Zhang, J., Li, H., & Wang, L. Recognizing Gaits Across Views Through Correlated Motion Co-Clustering. IEEE Transactions on Image Processing 23(2): 696-709 (2014)

View more

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

*Jayasumana, S., Hartley, R., Salzmann, M., Li, H., & Harandi, M. "Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels", IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015

View more

A Method for Extending Planar Axis-Symmetric Parallel Manipulators to Spatial Mechanisms

*Isaksson, M. & Eriksson, A. "A Method for Extending Planar Axis-Symmetric Parallel Manipulators to Spatial Mechanisms", in Mechanism and Machine Theory, vol. 83, pp. 1-13, 2014.

View more

Projective Reconstruction

Hartley, R. "Projective Reconstruction," in Computer Vision: A Reference Guide, 2014, pp640-651

View more

Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds

*Harandi, M., Hartley, R., Shen, C., Lovell, B., & Sanderson, C. Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. Neural Networks and Learning Systems, IEEE Transactions on (Volume:PP, Issue: 99 ), 27 Jan 201.

View more

Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences

Harandi, M., Hartley, R., Lovell, B., & Sanderson, C. Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences.Neural Networks and Learning Systems, IEEE Transactions on (Volume:PP, Issue: 99 ) 27 January, 2015.

View more

Learning Weighted Lower Linear Envelope Potentials in Binary Markov Random Fields

Gould, S. “Learning Weighted Lower Linear Envelope Potentials in Binary Markov Random Fields”. In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2014.

View more

Scene Understanding by Labeling Pixels

Gould, S. & He, X. “Scene Understanding by Labeling Pixels”. In Communications of the ACM, November 2014.

View more

A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization

*Dai, Y., Li, H., & He, M. A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization. International Journal of Computer Vision 107(2): 101-122 (2014)

View more

Ranking consistency for image matching and object retrieval

Chen, Y., Li, X., Dick, A., & Hill, R. Ranking Consistency for Image Matching and Object Retrieval. Pattern Recognition, Vol 47, Issue 3, 2014

View more

Globally Optimal Inlier Set Maximization With Unknown Rotation and Focal Length

Bazin, J. C., Seo, Y., Hartley, R., & Pollefeys, M. "Globally Optimal Inlier Set Maximization With Unknown Rotation and Focal Length", in Computer Vision–ECCV 2014, pp. 803-817.

View more

Iteratively Reweighted Graph Cut for Multi-label MRFs with Non-convex Priors

*Ajanthan, T., Hartley, R., Salzmann, M., & Li, H. Iteratively Reweighted Graph Cut for Multi-label MRFs with Non-convex Priors. arXiv preprint arXiv:1411.6340, 24 Nov 2014

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

Semidefinite Programming

Shen, C. and van den Hengel, A. 2014. "Semidefinite Programming", in Computer Vision: A Reference Guide, Springer US, pp. 717-719

View more

Large-Scale Camera Topology Mapping: Application to Re-identification

*Dick, A., van den Hengel, A., & Detmold, H. 2014. "Large Scale Camera Topology Mapping: Application to Re-Identification". In Person Re-Identification, Springer, pp.391-411 2014.

View more

Globally Optimal Inlier Set Maximization with Unknown Rotation and Focal Length

Bazin, J., Seo. Y., Hartley, R., & Pollefeys, M. 2014. Globally Optimal Inlier Set Maximization With Unknown Rotation and Focal Length. Computer Vision-ECCV 2014, Springer International Publishing. pp803-817.

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

Iteratively Reweighted Graph Cut for Multi-label MRFs with Nonconvex Priors

*Ajanthan, T., Hartley, R., Salzmann, M., & Li, H. Iteratively Reweighted Graph Cut for Multi-label MRFs with Nonconvex Priors. arXiv preprint arXiv:1411.6340, 24 Nov 2014.

View more

Globally Optimal Inlier Set Maximization With Unknown Rotation and Focal Length

Bazin, J., Seo. Y., Hartley, R., & Pollefeys, M. 2014. Globally Optimal Inlier Set Maximization With Unknown Rotation and Focal Length. Computer Vision-ECCV 2014, Springer International Publishing. pp803-817.

View more

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