Krzysztof Ciesielski's


Resent Applied Math/Data Sciences presentations



  1. The Minimum Barrier Distance Transform, November 2012.

  2. Delineating objects in images via minimization of lp energies; spanning forests via Dijkstra's and Kruskal's algorithms, May 8, 2013.

  3. Delineating objects in images via minimization of lp energies: Fuzzy Connectedness, Graph Cut, and Random Walk algorithms, May 9, 2013.

  4. The Minimum Barrier Distance Transform (with new results), June 7 & 10, 2013.

  5. New Results on the Minimum Barrier Distance, April 11, 2014. (A version of the talk The Minimum Barrier Distance Transform.)

  6. Generalized distances in image segmentation, July 26, 2014. (Version of the talks The Minimum Barrier Distance Transform and Delineating objects in images via minimization of lp energies; spanning forests via Dijkstra's and Kruskal's algorithms.)

  7. General theory of fuzzy connectedness segmentations: reconciliation of two tracks of FC theory, March 6, 2015.

  8. Characterization of the path cost functions for which Dijkstra algorithm returns desired optimal mapping, UPenn, December 17, 2015.

  9. Path-value functions for which Dijkstra's algorithm returns optimal mapping, UPenn, December 15, 2016.

  10. Fuzzy connectedness segmentations with different non-symmetric affinities, University of Campinas, Brazil, May 19, 2017.

  11. Hierarchical segmentation in a directed graph setting which optimizes a graph cut energy, ESIEE, Paris, France, September 5, 2018. Version with pauses.

  12. Hierarchical segmentation in a directed graph setting which optimizes a graph cut energy, Centre for Image Analysis, Uppsala University, Sweden, September 10, 2018. Version with pauses.

  13. Path-value functions for which Dijkstra's algorithm returns optimal mapping, Department of Mathematics, CoSy, Uppsala University, Sweden, September 11, 2018. Version with pauses.

  14. Hierarchical segmentation in a directed graph setting which optimizes a graph cut energy, MIPG Seminar, UPenn, November 1, 2018. Version with pauses.

  15. Optimization of Max-Norm Objective Functions in Image Processing and Computer Vision, MIPG Seminar, UPenn, March 7, 2019. Version with pauses.

  16. Graph-based Segmentation with Local Band Constraints, 21st International Conference on Discrete Geometry for Computer Imagery, DGCI 2019, Paris, France, March 26, 2019. Talk delivered by a coauthor, Caio de Moraes Braz.

  17. Optimization of Max-Norm Objective Functions in Image Processing and Computer Vision, 21st International Conference on Discrete Geometry for Computer Imagery, DGCI 2019, Paris, France, March 28, 2019. Talk delivered by a coauthor, Filip Malmberg.

  18. Efficient algorithms for max-norm and lexicographically optimized labelings, University of Sao Paulo, Brazil, May 27, 2019. Version with pauses.

  19. Efficient algorithms for max-norm and lexicographically optimized labelings, University of Campinas, Brazil, May 30, 2019. Version with pauses.

  20. Efficient algorithms for max-norm and lexicographically optimized labelings, Universidade Federal de Sao Paulo UNIFESP, Sao Jose dos Campos, Brazil, June 3, 2019. Version with pauses.