Papers published in proceedings of conferences:

  1. D. Weinshall, Qualitative depth from vertical and horizontal binocular disparities, in agreement with psychophysical evidence. Proceedings: IEEE Conference on Computer Vision and Pattern Recognition, pp. 159-164, Ann Arbor, June 1988.
  2. D. Weinshall, Application of qualitative depth and shape from stereo, Proceedings: IEEE second International Conference of Computer Vision, pp. 144-148, Tarpon Springs, December 1988.
  3. D. Weinshall, D. Geiger and T. Poggio, Labeling of surface discontinuities through the integration of vision modules, Proceedings: The 16th convention of electrical and electronics engineers in Israel (IEEE), pp. 2.5.1, Tel-Aviv, March 1989.
  4. D. Weinshall, S. Edelman and H. Bülthoff, A self-organizing multiple-view representation of 3D objects. In D. S. Touretzky, editor, Advances in Neural Information Processing Systems 2, pp. 274-281, Morgan Kaufmann Publishers, San-Mateo, CA, 1990.
  5. D. Weinshall, Shortcuts in the computation of qualitative 3D shape and motion invariants, AAAI-90 workshop on qualitative vision, pp. 31-35, Boston, July 1990.
  6. D. Weinshall, Direct computation of qualitative 3D shape and motion invariants, Proceedings: IEEE third International Conference of Computer Vision, pp. 230-237, Osaka, December 1990.
  7. D. Weinshall, Qualitative structure from motion. In D. S. Touretzky, R. P. Lippman, and J. Moody, (eds.) Advances in Neural Information Processing Systems 3, pp. 356-362, Morgan Kaufmann Publishers, San-Mateo, CA, 1991.
  8. D. Weinshall, Local shape approximation from shading. Proceedings: IEEE Conference on Computer Vision and Pattern Recognition, IL, June 1992.
  9. D. Weinshall and C. Tomasi Linear and incremental acquisition of invariant shape models from image sequences, Proceedings: IEEE fourth International Conference of Computer Vision, pp. 675-682, Berlin, May 1993.
  10. R. Mohan, D. Weinshall, and R. R. Sarukkai, 3D object recognition by indexing structural invariants from multiple views. Proceedings: IEEE fourth International Conference of Computer Vision, pp. 264-268, Berlin, May 1993.
  11. D. Weinshall, Model-based invariants for 3D vision. Proceedings: IEEE Conference on Computer Vision and Pattern Recognition, NY, June 1993.
  12. D. Weinshall and R. Basri, Distance Metric between 3D Models and 2D Images for Recognition and Classification. Proceedings: IEEE Conference on Computer Vision and Pattern Recognition, NY, June 1993.
  13. D. Weinshall, A Hierarchy of Invariant Representations of 3D Shape. Proceedings: IEEE Workshop on Qualitative Vision, NY, June 1993.
  14. D. Weinshall, M. Werman and N. Tishby, Stability and Likelihood of Views of Three Dimensional Objects. Proceedings: Third European Conference of Computer Vision, Stockholm, May 1994.
  15. H. Zabrodsky and D. Weinshall, Three Dimensional Symmetry from Two Dimensional Data. Proceedings: Third European Conference of Computer Vision, Stockholm, May 1994.
  16. B. Boufama, D. Weinshall and M. Werman Shape from motion algorithms: a comparative analysis of scaled orthography and perspective. Proceedings: Third European Conference of Computer Vision, Stockholm, May 1994.
  17. M. Werman and D. Weinshall, Similarity and Affine Distance Between Point Sets. Proceedings: International Conference of Pattern Recognition, Jerusalem, October 1994.
  18. Daphna Weinshall, Michael Werman and Amnon Shashua, Shape Tensors for Efficient and Learnable Indexing. Proceedings: IEEE Workshop on Representation of Visual Scenes, Boston, USA, 1995.
  19. D. Weinshall and M. Werman, Disambiguation techniques for recognition in large databases and for under-constrained reconstruction. Proceedings: IEEE International Symposium on Computer Vision, Coral Gables, USA, 1995.
  20. M. Werman and D. Weinshall, Complexity of Indexing: Efficient and Learnable Large Database Indexing. Proceedings: Fourth European Conference of Computer Vision, Cambridge, April 1996.
  21. D. Weinshall, M. Werman and Amnon Shashua, Shape Descriptors: Bilinear, Trilinear and Quadrilinear Relations for Multi-Point Geometry. Proceedings: Fourth European Conference of Computer Vision, Cambridge, April 1996.
  22. Y. Gdalyahu and D. Weinshall, Measures for Silhouettes Resemblance and The Most Representative Silhouette of a Curved Object. Proceedings: Fourth European Conference of Computer Vision, Cambridge, April 1996.
  23. G. Halevi and D. Weinshall, Motion of Disturbances: Detection and Tracking of Multi-body non rigid Motion. Proceedings: IEEE Conference on Computer Vision and Pattern Recognition, San-Juan, June 1997.
  24. D. Jacobs, D. Weinshall and Y. Gdalyahu, Condensing Image Databases when Retrieval is based on Non-Metric Distances. Proceedings: IEEE sixth International Conference of Computer Vision, Bombay, January 1998.
  25. M. Irani, P. Anandan and D. Weinshall. From Reference Frames to Reference Planes: A New Framework for 3D Scene Analysis. Proceedings: Fifth European Conference of Computer Vision, Freiburg, June 1998.
  26. Y. Gdalyahu and D. Weinshall, Flexible Syntactic Matching of Curves. Proceedings: Fifth European Conference of Computer Vision, Freiburg, June 1998.
  27. D. Weinshall, P. Anandan and M. Irani, A Stratified Approach to 3D Reconstruction from Uncalibrated Images, with Partial Scene Calibration. Proceedings: Workshop on 3D Structure from Multiple Images of Large Scale Environments, Freiburg, June 1998.
  28. Y. Gdalyahu and D. Weinshall, Automatic Hierarchical Classification of Silhouettes Images of 3D Objects. Proceedings: IEEE Conference on Computer Vision and Pattern Recognition, Santa-Barbara, June 1998.
  29. E. Domany, M. Blatt, Y. Gdalyahu and D. Weinshall, Superparamagnetic clustering of data: application to computer vision. Proceedings: Conference on Computational Physics, Granada, 1998; Physica A.
  30. Z. Liu and D. Weinshall, Mechanisms of Generalization in Perceptual Learning. In Advances in Neural Information Processing Systems, MIT Press, 1999.
  31. Y. Gdalyahu, D. Weinshall, and M. Werman, A Randomized Algorithm for Pairwise Clustering. In Advances in Neural Information Processing Systems, MIT Press, 1999.
  32. D. Weinshall, D. W. Jacobs, and Y. Gdalyahu, Classification in Non-Metric Spaces. In Advances in Neural Information Processing Systems, MIT Press, 1999.
  33. Y. Gdalyahu, D. Weinshall, and M. Werman, Stochastic Image Segmentation by Typical Cuts. In Proceedings: IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, June 1999.