I am a senior researcher at the Smart Sensing and Vision Group, Advanced Technical Center – Israel, General Motors Research. My research interests are in computer vision, machine learning and object recognition.
I am mainly interested in the task of object image understanding, and specifically in learning models for classification and interpretation in unsupervised and online settings.

Contact info:

7 Hamada St, Herzliya 46725, Israel

Office Phone: +972-9-9720623

Email: danmlevi@gmail.com



Topics in Computer Vision - Spring 2012 - Tel-Aviv-Yaffo Academic College


My Google Scholar 


New! The Stixel dataset (zip) described in our BMVC15 paper is now available for download. See Readme.txt in the archive file for details on reading the data and matching it to corresponding raw images from the KITTI dataset. Please cite the paper if you are using the dataset in a publication.

New! GM-ATCI Rear-view pedestrian dataset is available.



Lane-Level Positioning with Sparse Visual CuesVictoria Kogan, Ilan Shimshoni, Dan Levi. IEEE Intelligent Vehicles Symposium 2016. PDF

Monocular Self Localization in an Urban Environment Using a Prior-Based Soft Optimization Robust Estimation MethodShay Dekel, Dan Levi, Michael Slutsky, Ilan Shimshoni. IEEE Intelligent Vehicles Symposium 2016.


StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation. Dan Levi, Noa Garnett and Ethan Fetaya. To Appear in proceedings of BMVC 2015. PDFPosterPresentation at IMVC2016

Tracking and motion cues for rear-view pedestrian detection. Dan Levi and Shai Silberstein.  To Appear in proceedings of IEEE Intelligent Transporation Systems Conference (ITSC) 2015. PDF

Driver Gaze Tracking and Eyes Off the Road Detection System. Francisco Vicente, Zehua Huang, Xuehan Xiong, Fernando De la Torre, Wende Zhang, and Dan Levi. In IEEE Transactions on Intelligent Transportation Systems, , vol.16, no.4, pp.2014-2027, Aug. 2015. PDF

Structured Hough Voting for Vision-based Highway Border DetectionZhiding Yu, Wende Zhang, Bhagavatula V.K., Vijaya Kumar, and Dan Levi  IEEE WACV 2015 (best paper award). PDF


Vision-Based Pedestrian Detection for Rear-View Cameras. Shai Silberstein, Dan Levi, Victoria Kogan and Ran Gazit. IEEE Intelligent Vehicles Symposium 2014. PDF

Locally orderless tracking. Shaul Oron, Aharon Bar-Hillel, Dan Levi and Shai Avidan. Internaltional Journal of Computer Vision (IJCV) 2014. Publication link


Fast multiple-part based object detection using KD-Ferns. Dan Levi, Shai Silbersterin, Aharon Bar-Hillel. CVPR 2013. PDF


Locally orderless tracking. Shaul Oron, Aharon Bar-Hillel, Dan Levi and Shai Avidan. CVPR 2012PDF

Recent progress in road and lane detection: a survey. Aharon Bar-Hillel, Ronen Lerner, Dan Levi and  Guy Raz. Machine Vision and Applications. PDF

Parts-based object recognition seeded by frequency-tuned saliency for Child Detection in Active Safety. Shinko Y. Cheng, Jose Molineros, Yuri Owechko, Dan Levi, and Wende Zhang, , in IEEE Intelligent Transportation Systems Conference, (ITSC) 2012. (pdf)

Monocular Rear-View Obstacle Detection Using Residual FlowJose Molineros, Shinko Y. Cheng, Yuri Owechko, Dan Levi, and Wende Zhang,  in Computer Vision in Vehicular Technology: From Earth to Mars, In Conjunction with ECCV, 2012. (pdf)


Fusing visual and range imaging for object class recognition. Aharon Bar-Hillel, Dmitri Hanukaev, Dan Levi. ICCV 2011. PDF


Part-based feature synthesis for human detection. Aharon Bar-Hillel, Dan Levi, Eyal Krupka, Chen GoldbergECCV 2010. PDF  Appendix  PFS Code

Learning to classify by ongoing feature selection.  Levi D., Ullman S.  Image and Vision Computing, Volume 28, Issue 4, April 2010, Pages 715-723. PDF


Learning complex object-class models in natural conditions. Levi, D.. PhD Dissertation. PDF

Learning model complexity in an online environment.  Levi D., Ullman S.  In Proceesings, CRV 2009:260-267 (Won best paper prize).PDF


Combined model for detecting, localizing, interpreting and recognizing faces
Michael D., Karlinsky, L., Levi D., Ullman S. Workshop on face detection and recognitionECCV 2008PDF

Unsupervised Classification and localization by consistency amplification  Karlinsky, L., Michael D., Levi D., Ullman S.  ECCV (2) 2008: 321-335. PDF


Learning to classify by ongoing feature selection  Levi D., Ullman S.   CRV, 2006: 1 (Won best paper prize). PDF


A Neural Network Model for Fragment Based Classification.  Levi D. Master Thesis. 2004. PDF


Predictive Feature Selection for SVM (PFS-SVM)Matlab Code