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2014 Journal Articles [53]

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.

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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.

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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.

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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).

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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).

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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.

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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.

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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.

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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.


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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.

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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).

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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).

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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.

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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.

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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,

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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

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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.

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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.

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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.

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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.

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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.

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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

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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]

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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]

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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.

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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.

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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)

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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

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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.

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Projective Reconstruction

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

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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.

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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.

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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.

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Scene Understanding by Labeling Pixels

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

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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)

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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

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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.

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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

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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.

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