Aharon Bar Hillel's homepage            אהרון בר הלל - עמוד בית

barhille@bgu.ac.il

Senior lecturer
Industrial engineering and management
Ben-Gurion university of the negev

phone:  972-3-5350952            
        


In the last 10 years I've been working as a research scientist in Microsoft research, General Motors research and Intel research. Before that, I got my Ph.D in the Interdisciplinary center for neural computation, the Hebrew university of Jerusalem, 2006. My thesis included topics from machine learning and computer vision, guided by Prof. Daphna Weinshall .



Research Interests:

Machine Learning: Representation learning, Feature selection and synthesis, Distance function learning, Deep learning

Computer Vision: Object class recognition and detection, tracking

Machine Learning applications: Hand pose estimation, Vehicle Active Safety, Radar Target classification, Speaker recognition, Grid management optimization, Spike sorting, ...



Publications:

2017

  • Toward Realistic Hands Gesture Interface: Keeping it Simple for Developers and Machines
    Eyal Krupka, Kfir Karmon, Noam Bloom, Daniel Freedman, Ilya Gurvich, Aviv Hurvitz, Ido Leichte, Yoni Smolin, Yuval Tzairi, Alon Vinnikov, Aharon Bar Hillel 
    CHI (Computer Human Interaction) 2017.                                                                                                                                          
  • 2016

  • Convolutional tables ensemble: Classification in microseconds
    Aharon Bar Hillel, Eyal Krupka, Noam Bloom 

    https://arxiv.org/abs/1602.04489

  • 2015

  • Real-time tracking with detection for copying with viewpoint (See the web page http://www.eng.tau.ac.il/~oron/ for tracking examples)
    Sahul Oron, Aharon Bar Hillel, Shai Avidan 

    MVAP 2015
  • Cognitive workload and vocabulary sparseness: theory and practice
    Ron M. Hecht, Aharon Bar-Hillel, Stas Tiomkin, Hadar Levi, Omer Thimhoni, Naftali Tishby 
    InterSpeech 2015

  • 2014

  • Extended Luaks Kanade Tracking (See the web page http://www.eng.tau.ac.il/~oron/ for tracking examples)
    Sahul Oron, Aharon Bar Hillel, Shai Avidan 

    ECCV 2014
  • Discriminative Ferns ensemble for hand pose recognition (The Data used in the paper)
    Eyal Krupka, Alon Vinnikov, Ben Klein, Aharon Bar Hillel, Daniel Freedman, Simon Stachniak 

    CVPR 2014
  • Locally orderless tracking
    Shaul Oron, Aharon Bar Hillel, Dan Levi, Shai Avidan

    IJCV, 2014
  • Learning fast hand pose recognition
    Eyal Krupka, Alon Vinnikov, Ben Klein, Aharon Bar Hillel, Daniel Freedman, Simon Stachniak

    A book chapter in "Computer Vision and Machine Learning with RGBD sensors", Springer, 2014

  • 2013

  • Fast multiple-part based object detection using KD-Ferns
    Dan Levi, Shai Silberstein, Aharon Bar-Hillel 

    CVPR 2013
  • Naive Bayes Nearest Neighbor classification of ground moving targets
    Aharon Bar-Hillel, Igal Bilik and Ron Hecht 

    IEEE Radar conference, 2013
  • Effective model representation by information bottleneck principle
    Ron Hecht, Elad Noor, Gil Dobry, Yaniv Zigel, Aharon Bar Hillel, Naftali Tishby

    IEEE transaction on Audio, Speech and Language processing, 2013 

  • 2012

  • Recent progress in road and lane detection - a survey
    Aharon Bar-Hillel, Ronen Lerner, Dan Levi, Guy Raz 

    Machine Vision and Applications 2012
  • Locally orderless tracking
    Shaul Oron, Aharon Bar-Hillel, Dan Levi, Shai Avidan 

    CVPR 2012
  • Real time pedestrian detection with deformable part models
    Hyunggi Cho, Paul E. Rybski, Aharon Bar-Hillel, Wende Zhang 

    IEEE  Intelligent Vehicles Symposium (IV) 2012

  • Off Vehicle Evaluation of camera based pedestrian detection
    Yaniv Alon, Aharon Bar-Hillel
    IEEE  Intelligent Vehicles Symposium (IV) 2012

  • 2011

  • Fusing visual and range imaging for object class recognition  (The Data used in the paper)
    Aharon Bar-Hillel, Dmitry Hanukaev, Dan Levi

    ICCV 2011
  • 2010

  • Part-based feature synthesis for human detection (PFS code is available below)
    Aharon Bar-Hillel, Dan Levi, Eyal Krupka, Chen Goldberg 

    ECCV 2010 
  •  2009

  • Efficient human computation: the distributed labeling problem
    Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor 
    Workshop on human computation, KDD 2009 
  • 2008

  • Efficient learning of relational object class models
    Aharon Bar-Hillel, Daphna Weinshall
    International Journal of Computer Vision (IJCV), 2008
  • Gaussian mixture models with equivalent constraints
    Noam Shental, Aharon Bar-Hillel, Tomer Hertz        , Daphna Weinshall
    A book chpater in "Constrained Clustering: Advances in Algorithms, Theory and Applications" by Sugatu Basu, Ian Davidson and Kiri Wagstaff (Eds.), 2008
  • Comparison Processes in Category learning: From Theory to Behavior
    Rubi Hammer, Aharon Bar-Hillel, Tomer Hertz        , Daphna Weinshall and Shaul Hochstein 
    Brain Research, Special issue on 'Brain and Vision', 2008
  • 2007

  • Reinforcement learning for capacity tuning of multi core servers
    Liat Ein-Dor, Yossi Ittach, Aharon Bar-Hillel, Amir Di-Nur, Ran Gilad-Bachrach
    In "machine learning for systems problems", workshop in NIPS 2007
  • Learning distance functions by coding similarity
    Aharon Bar-Hillel, Daphna Weinshall
    In the 24rd International Conference on Machine Learning (ICML), 2007.
  • Workstation capacity tuning using reinforcement learning
    Aharon Bar-Hillel, Amir Di-Nur, Liat Ein-Dor, Ran Gilad-Bachrach, Yossi Ittach
    In International conference for high performance computing, networking, storage and analysis (SC), 2007
     
  • 2006

  • Subordinate class recognition using relational object models
    Aharon Bar-Hillel, Daphna Weinshall
    In 20th International Conference on Neural Information Processing Systems (NIPS), 2006.
  • Learning from weak represnentation using distance function and generative models
    Aharon Bar-Hillel
    Ph.D Thesis, 2007
  • Learning a kernel function for classification with small training samples
    Tomer Hertz, Aharon Bar Hillel, Daphna Weinshall
    In the 23rd International Conference on Machine Learning (ICML), 2006
  • Spike sorting: Bayesian clustering of non stationary data
    Aharon Bar Hillel, Adam Spiro, Eran Stark        
    Journal of Neuroscience Methods 157(2), 303-316, October 2006

    2005

  • Efficient learning of relational object class models
    Aharon Bar Hillel, Tomer Hertz and Daphna Weinshall
    International Conference on Computer Vision (ICCV), 2005.
  • Learning a Mahalanobis metric from equivalence constraints
    Aharon Bar Hillel, Tomer Hertz, Noam Shental and Daphna Weinshall
    In Journal of Machine Learning Research 6(Jun): 937-965, 2005
  • Object class recognition by boosting a part based model
    Aharon Bar Hillel, Tomer Hertz and Daphna Weinshall
    In In IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2005

    2004

  • Spike sorting: Bayesian Clustering of non-stationary data
      Aharon Bar-Hillel, Adam Spiro and Eran Stark         
     In 18th International Conference on Neural Information Processing Systems - NIPS, Vancouver, Canada, 2004.
  • Boosting Margin Based Distance Functions for Clustering
      Tomer Hertz, Aharon Bar-Hillel and Daphna Weinshall
     In 21st International Conference on Machine Learning (ICML 2004), Banff, Alberta, Canada July 2004. 
  • Learning Distance Functions for Image Retrieval
      Tomer Hertz, Aharon Bar-Hillel and Daphna Weinshall
     In IEEE Conf. on Computer Vision & Pattern Recognition, Washington, DC, June 2004 
  • Computing Gaussian Mixture Models with EM using Equivalence Constraints
    Noam Shental, Aharon Bar-Hillel, Tomer Hertz and Daphna Weinshall
    In 17th International Conference on Neural Information Processing Systems - NIPS, Vancouver, Canada, December 2004.

    2003

  • Learning with Equivalence Constraints, and the relation to Multiclass Classification
      Aharon Bar-hillel , Daphna Weinshall
     In The Sixteenth Annual Conference on Learning Theory (COLT) , 2003
  • Learning distance functions using Equivalence Relations
      Aharon Bar-hillel , Tomer Hertz, Noam Shental, Daphna Weinshall
     In The Twentieth International Conference on Machine Learning (ICML) 2003
  • Computing mixture models with EM using side information (Equivalence Constraints)
      Noam Shental, Aharon Bar-hillel , Tomer Hertz, Daphna Weinshall
     In "The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining", Workshop in ICML 2003
  • Enhancing image and video retrieval : Learning via Equivalence Constraints
      Tomer Hertz, Noam Shental, Aharon Bar-hillel ,Daphna Weinshall
     In proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2003


    Links of my Colleagues:

    Ran Gilad-Bachrach
    Tomer Hertz
    Eyal Krupka
    Dan Levi
    Noam Shental
    Daphna Weinshall 
    Shaul Oron
    Shai Avidan
    Naftali Tishby
    Hyunggi Cho
    Paul Rybski




    Matlab code:

  • PFS - Predictive Feature Selection for SVM Matlab code
  • The DistBoost algorithm
  • Relational part based model for object class recognition - Matlab code
  • Coding Similarity Matlab implementation.
  • The DistBoost algorithm
  • Spike sorting code
  • The Constrained EM algorithm - This code requires the BNT package to be on the Matlab path.
  • The Constrained EM algorithm - This code is self sufficient (it includes the BNT package)
  • A RCA Matlab implementation.


  • I like:

    [Terry Pratchet]
    שלומי שבן
    [Civilization]

    Terry Pratchet

    Shlomi Shaban

    Civilization


    My Love:

    צ'באב שופו
     
    גיג שימשום צוקי
    תול פיצפוץ
    הגר

    צ'באב שופו  

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