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Publications

DIPLECS project publications.

This folder holds the following references to publications, sorted by year and author.

There are 58 references in this bibliography folder.

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Chum O, and Matas J (2010).
Large Scale Discovery of Spatially Related Images.
IEEE Trans. on Pattern Analysis and Machine Intelligence.

Ahonen T, Matas J, He C, and Piettikainen M (2009).
Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features.
In: Scandinavian Conference on Image Analysis (SCIA).

Cerman L, Hlavac V, and Matas J (2009).
Sputnik Tracker: Having a Companion Improves Robustness of the Tracker.
In: Scandinavian Conference on Image Analysis (SCIA).

Christian T, and Hlavac V (2009).
Recognizing human actions by their pose.
In: Statistical and Geometrical Approaches to Visual Motion Analysis, ed. by Cremers, Daniel and Rosenhahn, Bodo and Yuille, Alan L. and Schmidt, Frank R., Springer Verlag.

Chum O, Perdoch M, and Matas J (2009).
Geometric min-Hashing: Finding a (Thick) Needle in a Haystack.
In: Conf. on Computer Vision and Pattern Recognition.

Cooper H, and Bowden R (2009).
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition.
In: Proc. IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, CVPR09, pp. 2568--2574.

Felsberg M (2009).
Spatio-Featural Scale-Space.
In: International Conference on Scale Space and Variational Methods in Computer Vision, pp. 21-24.

Felsberg M, and Larsson F (2009).
Learning Higher-Order Markov Models for Object Tracking in Image Sequences.
In: ISVC, vol. 5876, pp. 184–195. LNCS.

Felsberg M, Kalkan S, and Krüger N (2009).
Continuous Dimensionality Characterization of Image Structures.
Image and Vision Computing, 27(6):628–636.

Felsberg M, Wiklund J, and Granlund G (2009).
Exploratory Learning Structures in Artificial Cognitive Systems.
Image and Vision Computing, 27(11):1671–1687.

Gilbert A, Illingworth J, and Bowden R (2009).
Fast Realistic Multi-Action Recognition using Mined Dense Spatio-temporal Features.
In Proc. of International Conference on Computer Vision (ICCV'09):925-931.

Hedborg J, and Forssén PE (2009).
Fast and Accurate Ego-motion Estimation.
In: Proceedings of SSBA 2009, pp. 69-72, IAPR, Halmstad, Sweden.

Hedborg J, Forssén PE, and Felsberg M (2009).
Fast and Accurate Structure and Motion Estimation.
In: International Symposium on Visual Computing, pp. 211–222, Springer. Lecture Notes in Computer Science.

Jonsson E, and Felsberg M (2009).
Efficient Computation of Channel-coded Feature Maps through Piecewise Polynomials.
Image and Vision Computing, 27(11):1688–1694.

Kalal Z, Matas J, and Mikolajczyk K (2009).
Online learning of robust object detectors during unstable tracking.
In: 3rd On-line learning for Computer Vision Workshop, Kyoto, Japan.

Larsson F, Felsberg M, and Forss\'en PE (2009).
Patch Contour Matching by Correlating Fourier Descriptors.
In: Digital Image Computing: Techniques and Applications.

Larsson F, Forssén PE, and Felsberg M (2009).
Using Fourier Descriptors for Local Region Matching.
In: SSBA 2009, pp. 117-121.

Larsson F, Jonsson E, and Felsberg M (2009).
Simultaneously learning to recognize and control a low-cost robotic arm.
Image and Vision Computing, 27(11):1729–1739.

Ong EJ, Ellis L, and Bowden R (2009).
Problem Solving Through Imitation.
Journal of Image and Vision Computing, 27(11):1715-1728.

Pagani A, Stricker D, and Felsberg M (2009).
Integral P-channels for Fast and Robust Region Matching.
In: ICIP.

Perdoch M, Chum O, and Matas J (2009).
Efficient Representation of Local Geometry for Large Scale Object Retrieval.
In: Computer Vision and Pattern Recognition (CVPR) Conference.

Ringaby E (2009).
Optical Flow Computation on CUDA.
In: Proceedings of SSBA 2009, pp. 81-84, IAPR.