Daphna Weinshall - Publications

Affiliations: 
Hebrew University, Jerusalem, Jerusalem, Israel 
Area:
Computer vision

90 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2013 Zweig A, Weinshall D. Hierarchical regularization cascade for joint learning 30th International Conference On Machine Learning, Icml 2013. 1074-1082.  1
2013 Weinshall D, Hanukaev D, Levi G. LDA topic model with soft assignment of descriptors to words 30th International Conference On Machine Learning, Icml 2013. 1748-1756.  1
2013 Shalit U, Weinshall D, Chechik G. Modeling musical influence with topic models 30th International Conference On Machine Learning, Icml 2013. 903-911.  1
2012 Weinshall D, Zweig A, Hermansky H, Kombrink S, Ohl FW, Anemüller J, Bach JH, Van Gool L, Nater F, Pajdla T, Havlena M, Pavel M. Beyond novelty detection: incongruent events, when general and specific classifiers disagree. Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 1886-901. PMID 22213766 DOI: 10.1109/TPAMI.2011.279  1
2012 Hendel A, Weinshall D, Peleg S. Identifying surprising events in video using bayesian topic models Studies in Computational Intelligence. 384: 97-105. DOI: 10.1007/978-3-642-24034-8_8  1
2012 Zweig A, Eshar D, Weinshall D. Identification of novel classes in object class recognition Studies in Computational Intelligence. 384: 47-55. DOI: 10.1007/978-3-642-24034-8_3  1
2012 Anemüller J, Caputo B, Hermansky H, Ohl FW, Pajdla T, Pavel M, Van Gool L, Vogels R, Wabnik S, Weinshall D. DIRAC: Detection and identification of rare audio-visual events Studies in Computational Intelligence. 384: 3-35. DOI: 10.1007/978-3-642-24034-8_1  1
2012 Shalit U, Weinshall D, Chechik G. Online learning in the embedded manifold of low-rank matrices Journal of Machine Learning Research. 13: 429-458.  1
2011 Rosenfeld A, Weinshall D. Extracting foreground masks towards object recognition Proceedings of the Ieee International Conference On Computer Vision. 1371-1378. DOI: 10.1109/ICCV.2011.6126391  1
2011 Hendel A, Weinshall D, Peleg S. Identifying surprising events in videos using bayesian topic models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6494: 448-459. DOI: 10.1007/978-3-642-19318-7_35  1
2011 Kliper R, Kayser H, Weinshall D, Nelken I, Anemüller J. Monaural azimuth localization using spectral dynamics of speech Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 33-36.  1
2010 Hammer R, Brechmann A, Ohl F, Weinshall D, Hochstein S. Differential category learning processes: The neural basis of comparison-based learning and induction. Neuroimage. 52: 699-709. PMID 20363336 DOI: 10.1016/j.neuroimage.2010.03.080  1
2010 Kliper R, Serre T, Weinshall D, Nelken I. The story of a single cell: Peeking into the semantics of spikes 2010 2nd International Workshop On Cognitive Information Processing, Cip2010. 281-286. DOI: 10.1109/CIP.2010.5604119  1
2010 Shalit U, Weinshall D, Chechik G. Online learning in the manifold of low-rank matrices Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2009 Hammer R, Diesendruck G, Weinshall D, Hochstein S. The development of category learning strategies: what makes the difference? Cognition. 112: 105-19. PMID 19426967 DOI: 10.1016/j.cognition.2009.03.012  1
2009 Hammer R, Hertz T, Hochstein S, Weinshall D. Category learning from equivalence constraints. Cognitive Processing. 10: 211-32. PMID 19050949 DOI: 10.1007/s10339-008-0243-x  1
2008 Hammer R, Bar-Hillel A, Hertz T, Weinshall D, Hochstein S. Comparison processes in category learning: from theory to behavior. Brain Research. 1225: 102-18. PMID 18614160 DOI: 10.1016/j.brainres.2008.04.079  1
2008 Feldman D, Weinshall D. Motion segmentation and depth ordering using an occlusion detector. Ieee Transactions On Pattern Analysis and Machine Intelligence. 30: 1171-85. PMID 18550901 DOI: 10.1109/TPAMI.2007.70766  1
2008 Sorkin A, Weinshall D, Peled A. The distortion of reality perception in schizophrenia patients, as measured in Virtual Reality. Studies in Health Technology and Informatics. 132: 475-80. PMID 18391348  1
2008 Bar-Hillel A, Weinshall D. Efficient learning of relational object class models International Journal of Computer Vision. 77: 175-198. DOI: 10.1007/s11263-007-0091-7  1
2007 Hillel AB, Weinshall D. Learning distance function by coding similarity Acm International Conference Proceeding Series. 227: 65-72. DOI: 10.1145/1273496.1273505  1
2007 Zweig A, Weinshall D. Exploiting object hierarchy: Combining models from different category levels Proceedings of the Ieee International Conference On Computer Vision. DOI: 10.1109/ICCV.2007.4409064  1
2007 Hammer R, Hertz T, Hochstein S, Weinshall D. Classification with positive and negative equivalence constraints: Theory, computation and human experiments Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4729: 264-276. DOI: 10.1007/978-3-540-75555-5_25  1
2007 Feldman D, Weinshall D. Motion segmentation using an occlusion detector Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4358: 34-47. DOI: 10.1007/978-3-540-70932-9_3  1
2007 Weinshall D, Zamir L. Image classification from small sample, with distance learning and feature selection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4842: 106-115.  1
2007 Hillel AB, Weinshall D. Subordinate class recognition using relational object models Advances in Neural Information Processing Systems. 73-80.  1
2006 Sorkin A, Weinshall D, Modai I, Peled A. Improving the accuracy of the diagnosis of schizophrenia by means of virtual reality. The American Journal of Psychiatry. 163: 512-20. PMID 16513875 DOI: 10.1176/appi.ajp.163.3.512  1
2006 Hertz T, Hillel AB, Weinshall D. Learning a kernel function for classification with small training samples Acm International Conference Proceeding Series. 148: 401-408. DOI: 10.1145/1143844.1143895  1
2006 Weinshall D. Cognitive authentication schemes safe against spyware (short paper) Proceedings - Ieee Symposium On Security and Privacy. 2006: 295-300. DOI: 10.1109/SP.2006.10  1
2005 Sorkin A, Peled A, Weinshall D. Virtual reality testing of multi-modal integration in schizophrenic patients. Studies in Health Technology and Informatics. 111: 508-14. PMID 15718788  1
2005 Feldman D, Weinshall D. Realtime IBR with omnidirectional crossed-slits projection Proceedings of the Ieee International Conference On Computer Vision. 839-845. DOI: 10.1109/ICCV.2005.200  1
2005 Bar-Hillel A, Hertz T, Weinshall D. Object class recognition by boosting a part-based model Proceedings - 2005 Ieee Computer Society Conference On Computer Vision and Pattern Recognition, Cvpr 2005. 702-709. DOI: 10.1109/CVPR.2005.250  1
2005 Weiner I, Hertz T, Nelken I, Weinshall D. Analyzing auditory neurons by learning distance functions Advances in Neural Information Processing Systems. 1481-1488.  1
2005 Bar-Hillel A, Hertz T, Shental N, Weinshall D. Learning a Mahalanobis metric from equivalence constraints Journal of Machine Learning Research. 6.  1
2004 Weinshall D, Kirkpatrick S. Passwords you'll never forget, but can't recall Conference On Human Factors in Computing Systems - Proceedings. 1399-1402. DOI: 10.1145/985921.986074  1
2004 Peleg S, Weinshall D, Feldman D, Pritch Y. Mosaicing impossible stereo views Proceedings of Spie - the International Society For Optical Engineering. 5291: 129-138. DOI: 10.1117/12.522804  1
2004 Hertz T, Bar-Hillel A, Weinshall D. Boosting margin based distance functions for clustering Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 393-400.  1
2004 Hertz T, Bar-Hillel A, Weinshall D. Learning distance functions for image retrieval Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: II570-II577.  1
2004 Shental N, Bar-Hillel A, Hertz T, Weinshall D. Computing Gaussian mixture models with EM using equivalence constraints Advances in Neural Information Processing Systems 1
2003 Zomet A, Feldman D, Peleg S, Weinshall D. Mosaicing new views: The crossed-slits projection Ieee Transactions On Pattern Analysis and Machine Intelligence. 25: 741-754. DOI: 10.1109/TPAMI.2003.1201823  1
2003 Feldman D, Pajdla T, Weinshall D. On the epipolar geometry of the crossed-slits projection Proceedings of the Ieee International Conference On Computer Vision. 2: 988-995.  1
2003 Bar-Hillel A, Hertz T, Shental N, Weinshall D. Learning Distance Functions using Equivalence Relations Proceedings, Twentieth International Conference On Machine Learning. 1: 11-18.  1
2003 Bar-Hillel A, Weinshall D. Learning with equivalence constraints and the relation to multiclass learning Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2777: 640-654.  1
2003 Hertz T, Shental N, Bar-Hillel A, Weinshall D. Enhancing image and video retrieval: Learning via equivalence constraints Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: II/668-II/674.  1
2002 Shental N, Hertz T, Weinshall D, Pavel M. Adjustment learning and relevant component analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2353: 776-790.  1
2002 Weinshall D, Lee MS, Brodsky T, Trajkovic M, Feldman D. New view generation with a Bi-centric camera Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2350: 614-628.  1
2001 Gdalyahu Y, Weinshall D, Werman M. Self-organization in vision: Stochastic clustering for image segmentation, perceptual grouping, and image database organization Ieee Transactions On Pattern Analysis and Machine Intelligence. 23: 1053-1074. DOI: 10.1109/34.954598  1
2001 Lee MS, Weinshall D, Cohen-Solal E, Colmenarez A, Lyons D. A computer vision system for on-screen item selection by finger pointing Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: I1026-I1033.  1
2000 Liu Z, Weinshall D. Mechanisms of generalization in perceptual learning. Vision Research. 40: 97-109. PMID 10768045 DOI: 10.1016/S0042-6989(99)00140-6  1
2000 Jacobs DW, Weinshall D, Gdalyahu Y. Classification with nonmetric distances: Image retrieval and class representation Ieee Transactions On Pattern Analysis and Machine Intelligence. 22: 583-600. DOI: 10.1109/34.862197  1
2000 Gdalyahu Y, Shental N, Weinshall D. Perceptual grouping and segmentation by stochastic clustering Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 367-374.  1
1999 Weinshall D. Minimal decomposition of model-based invariants Journal of Mathematical Imaging and Vision. 10: 75-85. DOI: 10.1023/A:1008326801364  1
1999 Domany E, Blatt M, Gdalyahu Y, Weinshall D. Superparamagnetic clustering of data: Application to computer vision Computer Physics Communications. 121: 5-12. DOI: 10.1016/S0010-4655(99)00267-2  1
1999 Halevy G, Weinshall D. Motion of disturbances: Detection and tracking of multi-body non-rigid motion Machine Vision and Applications. 11: 122-137. DOI: 10.1007/s001380050096  1
1999 Weinshall D, Jacobs DW, Gdalyahu Y. Classification in non-metric spaces Advances in Neural Information Processing Systems. 838-844.  1
1999 Gdalyahu Y, Weinshall D, Werman M. A randomized algorithm for pairwise clustering Advances in Neural Information Processing Systems. 424-430.  1
1999 Gdalyahu Y, Weinshall D, Werman M. Stochastic image segmentation by typical cuts Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 596-601.  1
1998 Gdalyahu Y, Weinshall D. Automatic hierarchical classification of silhouettes of 3D objects Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 787-793. DOI: 10.1109/CVPR.1998.698693  1
1998 Irani M, Anandan P, Weinshall D. From reference frames to reference planes: Multi-view parallax geometry and applications Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1407: 829-845. DOI: 10.1007/BFb0054782  1
1998 Gdalyahu Y, Weinshall D. Flexible syntactic matching of curves Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1407: 123-139. DOI: 10.1007/BFb0054737  1
1998 Weinshall D, Anandan P, Irani M. From ordinal to euclidean reconstruction with partial scene calibration Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1506: 208-223. DOI: 10.1007/3-540-49437-5_14  1
1998 Carlsson S, Weinshall D. Dual Computation of Projective Shape and Camera Positions from Multiple Images International Journal of Computer Vision. 27: 227-241.  1
1998 Jacobs DW, Weinshall D, Gdalyahu Y. Condensing image databases when retrieval is based on non-metric distances Proceedings of the Ieee International Conference On Computer Vision. 596-601.  1
1997 Weinshall D. On view likelihood and stability Ieee Transactions On Pattern Analysis and Machine Intelligence. 19: 97-108. DOI: 10.1109/34.574783  1
1997 Pavep M, Weinshall D. On the non-rigid perception of looming Investigative Ophthalmology and Visual Science. 38: S482.  1
1997 Zabrodsky H, Weinshall D. Using Bilateral Symmetry to Improve 3D Reconstruction from Image Sequences Computer Vision and Image Understanding. 67: 48-57.  1
1996 Basri R, Weinshall D. Distance metric between 3D models and 2D images for recognition and classification Ieee Transactions On Pattern Analysis and Machine Intelligence. 18: 465-470. DOI: 10.1109/34.491630  1
1996 Gdalyahu Y, Weinshall D. Measures for silhouettes resemblance and representative silhouettes of curved objects Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1065: 361-375. DOI: 10.1007/3-540-61123-1_153  1
1996 Weinshall D, Werman M, Shashua A. Duality of multi-point and multi-frame geometry: Fundamental shape matrices and tensors Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1065: 217-227. DOI: 10.1007/3-540-61123-1_141  1
1996 Werman M, Weinshall D. Complexity of indexing: Efficient and learnable large database indexing Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1064: 660-670.  1
1995 Werman M, Weinshall D. Similarity and Affine Invariant Distances Between 2D Point Sets Ieee Transactions On Pattern Analysis and Machine Intelligence. 17: 810-814. DOI: 10.1109/34.400572  1
1995 Weinshall D, Tomasi C. Linear and Incremental Acquisition of Invariant Shape Models from Image Sequences Ieee Transactions On Pattern Analysis and Machine Intelligence. 17: 512-517. DOI: 10.1109/34.391392  1
1995 Weinshall D, Werman M, Shashua A. Shape tensors for efficient and learnable indexing Proceedings of the Ieee Workshop On Representation of Visual Scenes. 58-65.  1
1995 Weinshall D, Werman M. Disambiguation techniques for recognition in large databases and for under-constrained reconstruction Proceedings of the Ieee International Conference On Computer Vision. 425-430.  1
1994 Weinshall D. Local shape approximation from shading Journal of Mathematical Imaging and Vision. 4: 119-138. DOI: 10.1007/BF01249892  1
1993 Weinshall D. The computation of multiple matching doubly ambiguous stereograms with transparent planes. Spatial Vision. 7: 183-98. PMID 8347551 DOI: 10.1163/156856893X00342  1
1993 Weinshall D. Model-based invariants for 3-D vision International Journal of Computer Vision. 10: 27-42. DOI: 10.1007/BF01440845  1
1993 Weinshall D. Model-based invariants for 3D vision Ieee Computer Vision and Pattern Recognition. 695-696.  1
1993 Mohan R, Weinshall D, Sarukkai RR. 3D object recognition by indexing structural invariants from multiple views 1993 Ieee 4th International Conference On Computer Vision. 264-268.  1
1992 Weinshall D. Shortcuts in shape classification from two images Cvgip: Image Understanding. 56: 57-68. DOI: 10.1016/1049-9660(92)90085-H  1
1991 Edelman S, Weinshall D. A self-organizing multiple-view representation of 3D objects. Biological Cybernetics. 64: 209-19. PMID 2004131 DOI: 10.1007/BF00201981  1
1991 Weinshall D. Seeing "ghost" planes in stereo vision. Vision Research. 31: 1731-48. PMID 1767494 DOI: 10.1016/0042-6989(91)90023-X  1
1991 Weinshall D. Direct Computation of Qualitative 3-D Shape and Motion Invariants Ieee Transactions On Pattern Analysis and Machine Intelligence. 13: 1236-1240. DOI: 10.1109/34.106997  1
1990 Weinshall D. Qualitative depth from stereo, with applications Computer Vision, Graphics, & Image Processing. 49: 222-241.  1
1990 Weinshall D. Direct computation of qualitative 3D shape and motion invariants . 230-237.  1
1989 Weinshall D. Perception of multiple transparent planes in stereo vision. Nature. 341: 737-9. PMID 2797208 DOI: 10.1038/341737a0  1
1989 Gamble EB, Geiger D, Poggio T, Weinshall D. Correspondence: Integration of Vision Modules and Labeling of Surface Discontinuities Ieee Transactions On Systems, Man and Cybernetics. 19: 1576-1581. DOI: 10.1109/21.44072  1
1988 Geiger D, Weinshall D. Labeling edges with a linear network: An integration of low-level vision modules Neural Networks. 1: 494. DOI: 10.1016/0893-6080(88)90516-3  1
1988 Weinshall D. Qualitative depth from vertical and horizontal binocular disparities, in agreement with psychophysical evidence . 159-164.  1
1988 Weinshall D. Application of qualitative depth and shape from stereo . 144-148.  1
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