Publications

Object Categorization

ijcv08 B. Leibe, A. Leonardis, B. Schiele. Robust object detection with interleaved categorization and segmentation. International  journal of computer vision, 2008, vol. 77, no. 1/3, pp. 259-289. [pdf]
cvpr08 S. Fidler, M. Boben, A. Leonardis. Similarity-based cross-layered hierarchical representation for object categorization. CVPR 2008. [pdf]
isrr07 A. Leonardis and S. Fidler. Learning hierarchical representations of object categories for robot vision. 13th International Symposium of Robotics Research (ISRR), 2007. [pdf]
cvpr07 S. Fidler and A. Leonardis. Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts. CVPR 2007. [pdf]
cvpr06 S. Fidler, G. Berginc, A. Leonardis. Hierarchical Statistical Learning of Generic Parts of Object Structure. CVPR (1) 2006, pp. 182-189. [pdf]

Subspace Methods

pr07web.jpg D. Skočaj, A. Leonardis, H. Bischof. Weighted and robust learning of subspace representations. Pattern recognition, May 2007, vol. 40, no. 5, pp. 1556-1569. [pdf]
pami06web.jpg S. Fidler, D. Skočaj, A. Leonardis. Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling. IEEE Transactions on Pattern Analysis and Machine Intelligence, March 2006, vol. 28, no. 3, pp. 337-350. [pdf]
Pattern Recognition award A. Leonardis, H. Bischof, J. Maver. Multiple eigenspaces. Pattern recognition, 2002, vol. 35, issue 11, pp. 2613-2627.  Selected as the most original manuscript from all 2002 Pattern Recognition issues - winner of the Twenty-Ninth Annual Pattern Recognition Society Award.
[link]

Robot Localization

ras03web1.jpg M. Jogan, A. Leonardis. Robust localization using an omnidirectional appearance-based subspace model of environment. Robot. auton. syst., 2003, vol. 45, pp. 51-72. [pdf]

Selected journal papers

  • B. Leibe, A. Leonardis, B. Schiele. Robust object detection with interleaved categorization and segmentation. International  journal of computer vision, 2008, vol. 77, no. 1/3, pp. 259-289. [pdf]
  • D. Skočaj, A. Leonardis. Incremental and robust learning of subspace representations. Image and vision computing, 2008, vol. 26, no. 1, pp. 27-38.
  • D. Skočaj, A. Leonardis, H. Bischof. Weighted and robust learning of subspace representations. Pattern recognition, May 2007, vol. 40, no. 5, pp. 1556-1569. [pdf]
  • S. Fidler, D. Skočaj, A. Leonardis. Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling. IEEE Transactions on Pattern Analysis and Machine Intelligence, March 2006, vol. 28, no. 3, pp. 337-350. [pdf]
  • H. Bischof, H. Wildenauer, A. Leonardis. Illumination insensitive recognition using eigenspaces. Computer vision and image understanding, 2004, vol. 95, no. 1, pp. 86-104. [pdf]
  • M. Jogan, A. Leonardis. Robust localization using an omnidirectional appearance-based subspace model of environment. Robot. auton. syst., 2003, vol. 45, pp. 51-72. [pdf]
  • M. Jogan, E. Žagar, A. Leonardis. Karhunen-Loéve expansion of a set of rotated templates. IEEE trans. image process., July 2003, vol. 12, no. 7, pp. 817-825. [pdf]
  • A. Leonardis, H. Bischof, J. Maver. Multiple eigenspaces. Pattern recognition, 2002, vol. 35, issue 11, pp. 2613-2627.
  • T. Werner, T. Pajdla, V. Hlavač, A. Leonardis, M. Matoušek. Selection of reference images for image-based scene
    representations. Computing, 2002, vol. 68, pp. 163-180.
  • H. Bischof, A. Leonardis. View-based object representations using RBF networks. Image vis. comput., 2001, vol. 19, pp. 619-629.
  • A. Leonardis, H. Bischof. Robust recognition using eigenimages. Comput. vis. image underst., 2000, vol. 78, no. 1, pp. 99-118.
  • H. Bischof, A. Leonardis, A. Selb. MDL principle for robust vector quantisation. Pattern analysis and applications, 1999, vol. 2, no 1, pp. 59-72.
  • S. Kovačič, A. Leonardis, F. Pernuš. Planning sequences of views for 3-D object recognition and pose determination. Pattern recognition, 1998, vol. 31, no. 10, pp. 1407-1417.
  • A. Leonardis, H. Bischof. An efficient MDL-based construction of RBF networks. Neural networks, 1998, vol. 11, no. 5, pp. 963-973.
  • F. Solina, A. Leonardis. Proper scale for modeling visual data. Image vis. comput., 1998, vol. 16, no. 2, pp. 89-98.
  • H. Bischof, A. Leonardis. Finding optimal neural networks for land use classification. IEEE trans. geosci. remote sens., 1998, vol. 36, no. 1, pp. 337-341.
  • A. Leonardis, A. Jaklič, F. Solina. Superquadrics for segmenting and modeling range data. IEEE trans. pattern analysis and machine intelligence, 1997, vol. 19, no. 11, pp. 1269-1295.
  • R. Bajcsy, S. W. Lee, A. Leonardis. Detection of diffuse and specular interface reflections and inter-reflections by color image segmentation. International journal of computer vision, 1996, vol. 17, no. 3, pp. 241-272.
  • A. Leonardis, A. Gupta, R. Bajcsy. Segmentation of range images as the search for geometric parametric models. International journal of computer vision, 1995, vol. 14, pp. 253-277.

Selected conference papers

  • S. Fidler, M. Boben, A. Leonardis. Similarity-based cross-layered hierarchical representation for object categorization. CVPR 2008. [pdf]
  • D. Omerčević, O. Drbohlav, Ondrej, A. Leonardis. High-dimensional feature matching : employing the concept of meaningful nearest neighbors. ICCV 2007.
  • A. Leonardis and S. Fidler. Learning hierarchical representations of object categories for robot vision. 13th International Symposium of Robotics Research (ISRR), 2007. [pdf]
  • S. Fidler and A. Leonardis. Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts. CVPR 2007. [pdf]
  • S. Fidler, G. Berginc, A. Leonardis. Hierarchical Statistical Learning of Generic Parts of Object Structure. CVPR (1) 2006, pp. 182-189. [pdf]
  • M. Peternel, A. Leonardis. Visual learning and recognition of a probabilistic spatio-temporal model of cyclic human locomotion. ICPR 2004, pp. 146-149. [pdf]
  • B. Leibe, A. Leonardis, B. Schiele. Combined object categorization and segmentation with an implicit shape model.  ECCV’04 Workshop on Statistical Learning in Computer Vision, 2004, pp. 17-32. [pdf]
  • D. Skočaj, A. Leonardis. Weighted and robust incremental method for subspace learning. ICCV 2003, pp. 1494-1501. [pdf]
  • D. Skočaj, H. Bischof, A. Leonardis. A robust PCA algorithm for building representations from panoramic images. ECCV 2002, pp. 761-775.
  • M. Jogan, A. Leonardis, H. Wildenauer, H. Bischof. Mobile robot localization under varying illumination. ICPR 2002, vol. 2, pp. 741-744. [pdf]
  • M. Artač, M. Jogan, A. Leonardis. Mobile robot localization using an incremental eigenspace model. IEEE International Conference on Robotics and Automation, 2002, pp. 1025-1030. [pdf]
  • H. Bischof, H. Wildenauer, A. Leonardis. Illumination insensitive eigenspaces. ICCV 2001, pp. 233-238. [pdf]
  • A. Leonardis, H. Bischof. Multiple eigenspaces by MDL. ICPR 2000, Vol. 1, pp. 233-237. [pdf]
  • M. Jogan, A. Leonardis. Robust localization using panoramic view-based recognition. ICPR 2000, Vol. 3, pp. 136-139. [link]
  • H. Bischof, A. Leonardis, F. Pezzei. A robust subspace classifier. ICPR 1998, vol. 1, pp. 114-116.
  • H. Bischof, A. Leonardis. MDL-based design of vector quantizers. ICPR 1998, vol. 1, pp. 891-893.
  • H. Bischof, A. Leonardis. Robust recognition of scaled eigenimages through a hierarchical approach. CVPR 1998, pp. 664-670.
  • A. Leonardis, H. Bischof. Dealing with occlusions in the eigenspace approach. CVPR 1996, pp. 453-458.
  • V. Hlavač, A. Leonardis, T. Werner. Automatic selection of reference views for image-based scene representations. ECCV 1996, vol. 1, pp. 526-535.
  • C. Menard, A. Leonardis. Robust stereo on multiple resolutions. ICPR 1996, Vol. 1, pp. 910-914.
  • T. Werner, V. Hlavač, A. Leonardis, T. Pajdla. Selection of reference views for image-based representation. ICPR 1996, Vol. 1, pp. 73-77.
  • A. Leonardis, H. Bischof. Complexity optimization of adaptive RBF networks. ICPR 1996, Vol. 4, pp. 654-658.
  • M. Trobina, A. Leonardis. Grasping arbitrarily shaped 3-D objects from a pile. IEEE International conference on robotics and automation, 1995, vol. 1, pp. 241-246.
  • A. Leonardis, F. Solina, A. Macerl. A direct recovery of superquadric models in range images using recover-and-select paradigm. ECCV 1994, pp. 309-318.
  • F. Pernuš, A. Leonardis, S. Kovačič. Non-information-preserving shape features at multiple resolutions. ICPR 1992, vol. II, pp. 166-169.
  • F. Solina, A. Leonardis. Selective scene modeling. ICPR 1992, vol. 1, pp. 87-90.

Books

sqbook.jpg A. Jaklič, A. Leonardis F. Solina. Segmentation and recovery of superquadrics, Computational imaging and vision, vol. 2). Dordrecht; Boston; London: Kluwer Academic Publishers, cop. 2000. XXI, 266 pages, ISBN 0-7923-6601-8.
ccvcg.jpg A. Leonardis, F. Solina, R. Bajcsy. Confluence of computer vision and computer graphics, NATO science series, Series 3, High Technology, vol. 84. Dordrecht; Boston; London: Kluwer Academic Publishers, 2000, 352 pages. ISBN 0-7923-6612-3. ISBN 0-7923-6611-5