Daphna Weinshall


Professor
School of Computer Science and Engineering

Hebrew University of Jerusalem
Jerusalem 91904
Israel


daphna at cs huji ac il
+ 972-2-549-4542
+ 972-2-549-4542


Traveling (slideshows):

Selected publications:

Since 2010
Learning and Object Recongition
Computer Vision
Cognitive Neuroscience
Population Genetics


Students

  • Alon Zweig Ph.D.
  • Roie Kliper Ph.D.
  • Uri Shalit Ph.D.
  • Dmitri Hanukaev Ph.D.
  • Alon Cohen M.Sc.
  • Gal Levi M.Sc.
  • Avishai Hendel (2012). Identifying Surprising Events in Videos Using Bayesian Topic Models. M.Sc. pdf
  • Avram Golbert (2012). Object Detection from Multiple Overlapping Views Using Semantic and Geometric Context in 3D. M.Sc. pdf
  • Amir Rosenfeld (2011). Extracting Foreground Masks towards Object Recognition. M.Sc. pdf
  • Dagan Eshar (2009). Generative Implementation of Hierarchical Novelty Detector. M.Sc. pdf
  • Tomer Hertz (2007). Learning Distance Functions with Applications in Image Retrieval, Clustering, Classification and Immunoinformatics. Ph.D. pdf
  • Lior Zamir (2007). Feature Selection in Distance Learning from Small Sample. M.Sc. pdf
  • Aharon Bar-Hillel (2006). Learning from Weak Representations using Distance Functions and Generative Models. Ph.D. pdf
  • Anna Sorkin (2006). Virtual Reality for Diagnostic Assessment of Schizophrenia Deficits. Ph.D. pdf
  • Doron Feldman (2006). Analyzing the Spatio-Temporal Domain: from View Synthesis to Motion Segmentation. Ph.D. pdf
  • Vered Tsedaka (2005). Data Modeling with Gaussian Mixture Based Clustering: A Unifying View for Discriminative and Generative Clustering. M.Sc. pdf
  • Inna Weiner (2005). Analyzing Auditory Neurons by Learning Distance Functions. M.Sc. pdf
  • Adam Spiro (2005). Bayesian Clustering of non-stationary Data. M.Sc. pdf
  • Noam Shental (2004). From Unsupervised to Semi-Supervised Learning: Algorithms and Applications. Ph.D. pdf
  • Yoram Gdalyahu (1999). Stochastic Clustering and its Applications to Computer Vision. Ph.D. pdf
  • Gilad Halevy (1997). Motion of disturbances: detection and tracking of multi-body non rigid motion. M.Sc.

    • Recorded lectures:

    June 2010: Category Learning from Equivalence Constraints
    October 2011: Identifying Surprising Events in Videos


    Biography:

    Brief Biography
    Curriculum Vita


    Teaching:

    Visual Object Recognition 2009 [67777]
    Introduction to Computer Science 2009/10 [67101]


    A few demos:

    Test yourself: depth ordering
    Schizophrenia profile: incoherencies detection
    Image-based rendering: X-slits movies
    Image-based rendering: bi-centric movies
    Gesture recognition: pointing target detection
    Curve matching: demo
    Tracking: multi-body motion
    Tracking: storms


    Code (usually matlab):

  • Figure-ground segregation, see paper.
  • DistBoost - a boosting-based distance learning algorithm, see paper.
  • Constrained EM algorithm: full package (with BNT) and minimal code, see paper.
  • RCA Mahalanobis distance learning, see paper.
  • Typical-cut clustering algorithm (in C), see paper.
  • Relational model learning, see paper.
  • Spike sorting - Clustering of non-stationary data, see paper.


    • Image data sets:

  • Short description of the data sets
  • Chairs data
  • Furniture background
  • Dogs data
  • Easy animals background - animals not similar to dogs
  • Hard animals background - animals similar to dogs
  • Human data
  • Sites background


    • Link to creator - Aharon Bar-Hillel.


    Research Interests:

    Computer and human vision
    Machine and perceptual learning


    My best results - Yael and Tom:

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