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Publications

The list below contains only recent publications from the AI team section of the LJK publications database. Additional publications can often be found on our individual members websites. Ones predating the creation of the AI team can be found in the LEAR team's publication database.

[1] Hussain S. .U. et Triggs B. Visual Recognition Using Local Quantized Patterns. In Fitzgibbon A. .W., Lazebnik S., Perona P., Soto Y. et Schmid C. editors, 12th European Conference on Computer Vision, ECCV 2012. Florence, Italie, octobre 2012. Lecture Notes in Computer Science volume 7573, pages II:716–729. Springer, 2012.
[3] Wen Y., Dai D., Triggs B. et Xia G.-S. SAR-based Terrain Classification using Weakly Supervised Hierarchical Markov Aspect Models. IEEE Trans. Image Process., 21 (9), 4232–4243, 2012.
[5] Bendale Pashmina. Development and Evaluation of a Multiscale Keypoint Detector based on Complex Wavelets. Thèse de doctorat, University of Cambridge. janvier 2011.
[7] Wen Y., Triggs B., Dai D. et Xia G.-S. Scene Segmentation with Low-Dimensional Semantic Representations and Conditional Random Fields. EURASIP J. Adv. Signal Process., 2010, 196036, 2010. http://asp.eurasipjournals.com/content/2010/1/196036 .
[9] Cevikalp H., Larlus D., Neamtu M., Triggs B. et Jurie F. Manifold based local classifiers: linear and nonlinear approaches. J. Signal Proc. Syst., 61 (1), 61–73, 2010.
[11] Cevikalp H., Triggs B., Yavuz H. .S., Küçük Y., Kucuk M. et Barkana A. Large margin classifiers based on affine hulls. Neurocomputing, 73 (16--18), 3160–3168, 2010. Special Issue: 10th Brazilian Symposium on Neural Networks (SBRN2008).
[13] Hussain S. .U. et Triggs B. Feature Sets and Dimensionality Reduction for Visual Object Detection. In Labrosse F., Zwiggelaar, R., Liu Y. et Tiddeman B. editors, British Machine Vision Conference, BMVC 2010. Aberystwyth, Royaume-Uni, août 2010. pages 112:1–10. BMVA Press, 2010.
[15] Bendale P., Triggs B. et Kingsbury N. Multiscale Keypoint Analysis based on Complex Wavelets. In Labrosse F., Zwiggelaar, R., Liu Y. et Tiddeman B. editors, British Machine Vision Conference, BMVC 2010. Aberystwyth, Royaume-Uni, août 2010. pages 49:1–10. BMVA Press, 2010.
[17] Triggs B. et Bendale P. Epipolar Constraints for Multiscale Matching. In Labrosse F., Zwiggelaar, R., Liu Y. et Tiddeman B. editors, British Machine Vision Conference, BMVC 2010. Aberystwyth, Royaume-Uni, août 2010. pages 48:1–10. BMVA Press, 2010.
[19] Wen Y., Dai D., Triggs B., Xia G.-S. et He C. Fast Semantic Scene Segmentation with Conditional Random Field. In International Conference on Image Processing, ICIP 2010. Hong Kong, septembre 2010. pages 229–232. IEEE, 2010.
[21] Tan X. et Triggs B. Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions. IEEE Trans. Image Process., 19 (6), 1635–1650, 2010.
[23] Cevikalp H. et Triggs B. Face Recognition Based on Image Sets. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2010. San Francisco, CA, Etats-Unis, juin 2010. pages 2567–2573. 2010.
[25] Zou T., Wen Y., Dai D. et Sun H. Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests. EURASIP J. Adv. Signal Process., 2010, 465612:1–9, 2010.
[27] Demirkesen C. et Cherifi H. Fusing image representations for classification using support vector machines. In Bailey Donald editors, 24th International Conference on Image and Vision Computing, IVCNZ '09. Wellington, Nouvelle-Zélande, novembre 2009. pages 437–441. IEEE, 2009.
[29] Yang W., Dai D., Triggs B. et Xia G.-S. Semantic Labeling of SAR Images with Hierarchical Markov Aspect Models. Rapport de recherche, HAL, numéro hal-00433600. novembre 2009.
[31] Triggs Bill. Scene Segmentation with Latent Topic Markov and Conditional Field Models and Nearest Hyperdisk Methods for High-Dimensional Classification. In 6th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2008. Bhubaneswar, Inde, décembre 2008. Conférence invitée.
[33] Demirkesen C. et Cherifi H. A Comparison of Multiclass SVM Methods for Real World Natural Scenes. In Blanc-Talon J., Bourennane S., Philips W., Popescu D. .C. et Scheunders P. editors, 10th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2008. Juan-les-Pins, France, octobre 2008. Lecture Notes in Computer Science volume 5259, pages 752–763. Springer, 2008.
[35] Demirkesen C. et Cherifi H. An Evaluation of Divide-and-Combine Strategies for Image Categorization by Multi-Class Support Vector Machines. In 23rd International Symposium on Computer and Information Sciences, ISCIS 2008. Istanbul, Turquie, octobre 2008. pages 1–6. 2008.
[37] Triggs Bill. Human Detection and Motion Capture. In International Computer Vision Summer School, ICVSS 2008. Sicily, Italie, juillet 2008. Conférence invitée.
[39] Triggs Bill. Visual Recognition and Human Motion Reconstruction. In China-US-France Summer Courses on Machine Learning, Statistics and Computer Vision. Ezhou, Chine, juillet 2008. Conférence invitée.
[41] Cevikalp H., Triggs B. et Polikar R. Nearest hyperdisk methods for high-dimensional classification. In 25th International Conference on Machine Learning, ICML 2008. Helsinki, Finlande, juillet 2008. pages 120–127. ACM, 2008.
[43] Agarwal A. et Triggs B. Multilevel Image Coding with Hyperfeatures. Int. J. Comput. Vis., 78 (1), 15–27, 2008.
[45] Triggs Bill. Scene Segmentation with Latent Topic Markov Field Models, and Classification and Dimensionality Reduction using Convex Class Models. In The Annual Belgian-Dutch Machine Learning Conference, Benelearn08. Spa, Belgique, mai 2008. Conférence invitée.
[47] Triggs Bill. Machine Learning in Computer Vision: 1. Low Level Features and the Visual Signal; 2. Object Detection, Image Classification, Human Pose Analysis. In PASCAL Machine Learning Bootcamp. Vilanova i la Geltrú, Espagne, juillet 2007. Conférence invitée.
[49] Triggs Bill. Course on Computer Vision based Human Detection and Human Motion Analysis. In Summer School on Action and Object Classification Techniques in Digital Images, AERFAISS'06. AERFAI, Granada, Espagne, juin 2006. Conférence invitée.