| Recent progress in road and lane detection: a survey A Bar Hillel, R Lerner, D Levi, G Raz Machine vision and applications 25 (3), 727-745, 2014 | 1019 | 2014 |
| Learning a Mahalanobis metric from equivalence constraints. A Bar-Hillel, T Hertz, N Shental, D Weinshall, G Ridgeway Journal of machine learning research 6 (6), 2005 | 748 | 2005 |
| Learning distance functions using equivalence relations A Bar-Hillel, T Hertz, N Shental, D Weinshall Proceedings of the 20th international conference on machine learning (ICML …, 2003 | 623 | 2003 |
| Locally orderless tracking S Oron, A Bar-Hillel, D Levi, S Avidan International Journal of Computer Vision 111, 213-228, 2015 | 603 | 2015 |
| Computing Gaussian mixture models with EM using equivalence constraints N Shental, A Bar-Hillel, T Hertz, D Weinshall Advances in neural information processing systems 16, 2003 | 385 | 2003 |
| Learning distance functions for image retrieval T Hertz, A Bar-Hillel, D Weinshall Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 155 | 2004 |
| Boosting margin based distance functions for clustering T Hertz, A Bar-Hillel, D Weinshall Proceedings of the twenty-first international conference on Machine learning, 50, 2004 | 150 | 2004 |
| Part-based feature synthesis for human detection A Bar-Hillel, D Levi, E Krupka, C Goldberg Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 131 | 2010 |
| Learning a kernel function for classification with small training samples T Hertz, AB Hillel, D Weinshall Proceedings of the 23rd international conference on Machine learning, 401-408, 2006 | 109 | 2006 |
| Real-time pedestrian detection with deformable part models H Cho, PE Rybski, A Bar-Hillel, W Zhang 2012 IEEE Intelligent Vehicles Symposium, 1035-1042, 2012 | 108 | 2012 |
| Detection and counting of flowers on apple trees for better chemical thinning decisions G Farjon, O Krikeb, AB Hillel, V Alchanatis Precision Agriculture 21, 503-521, 2020 | 102 | 2020 |
| Extended lucas-kanade tracking S Oron, A Bar-Hille, S Avidan Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 99 | 2014 |
| Spike sorting: Bayesian clustering of non-stationary data A Bar-Hillel, A Spiro, E Stark Advances in Neural Information Processing Systems 17, 2004 | 99 | 2004 |
| Efficient learning of relational object class models A Bar-Hillel, D Weinshall International Journal of Computer Vision 77, 175-198, 2008 | 92 | 2008 |
| Object class recognition by boosting a part-based model A Bar-Hillel, T Hertz, D Weinshall 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 65 | 2005 |
| Enhancing image and video retrieval: Learning via equivalence constraints T Hertz, N Shental, A Bar-Hillel, D Weinshall 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 62 | 2003 |
| Subordinate class recognition using relational object models A Hillel, D Weinshall Advances in Neural Information Processing Systems 19, 2006 | 60 | 2006 |
| Fast multiple-part based object detection using kd-ferns D Levi, S Silberstein, A Bar-Hillel Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 56 | 2013 |
| Comparison processes in category learning: From theory to behavior R Hammer, A Bar-Hillel, T Hertz, D Weinshall, S Hochstein Brain Research 1225, 102-118, 2008 | 54 | 2008 |
| Leaf counting: Multiple scale regression and detection using deep CNNs. Y Itzhaky, G Farjon, F Khoroshevsky, A Shpigler, A Bar-Hillel BMVC 328, 2018 | 52 | 2018 |
Daphna WeinshallProfessor of Computer Science, Hebrew University在 cs.huji.ac.il 的电子邮件经过验证
