Ali Harakeh - Google Scholar Citations

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	All	Since 2015
Citations	331	331
h-index	6	6
i10-index	4	4

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201620172018201920206 5 46 244 25

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Steven WaslanderAssociate Professor, University of TorontoVerified email at utias.utoronto.ca
Jason KuUniversity of TorontoVerified email at mail.utoronto.ca
Melissa MozifianPhD student at McGill UniversityVerified email at mcgill.ca
Jungwook LeeUniversity of WaterlooVerified email at uwaterloo.ca
Daniel AsmarAmerican University of BeirutVerified email at aub.edu.lb
Elie ShammasProfessor of Mechanical Engieering, American University of BeirutVerified email at aub.edu.lb
Oles AndrienkoUniversity of WaterlooVerified email at uwaterloo.ca
Alex D. PonUniversity of TorontoVerified email at mail.utoronto.ca
Sean WalshUniversity of TorontoVerified email at mail.utoronto.ca
Krzysztof CzarneckiProfessor of Electrical and Computer EngineeringVerified email at gsd.uwaterloo.ca
Matt AngusMaster of Mathematics, University of WaterlooVerified email at uwaterloo.ca
Samin KhanUniversity Of WaterlooVerified email at uwaterloo.ca
Cody ReadingStudent, University of TorontoVerified email at mail.utoronto.ca

Ali Harakeh

PhD Candidate, University of Toronto Institute For Aerospace Studies (UTIAS)

Verified email at utoronto.ca - Homepage

Machine Learning Deep Models Object Detection Scene Understanding


Title	Cited by	Year
Joint 3d proposal generation and object detection from view aggregation J Ku, M Mozifian, J Lee, A Harakeh, SL Waslander 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018	237*	2018
In defense of classical image processing: Fast depth completion on the CPU J Ku, A Harakeh, SL Waslander 2018 15th Conference on Computer and Robot Vision (CRV), 16-22, 2018	45	2018
A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection A Pon, O Adrienko, A Harakeh, SL Waslander 2018 15th Conference on Computer and Robot Vision (CRV), 102-109, 2018	11	2018
Ground segmentation and occupancy grid generation using probability fields A Harakeh, D Asmar, E Shammas 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015	11	2015
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation J Lee, S Walsh, A Harakeh, SL Waslander 2018 21st International Conference on Intelligent Transportation Systems …, 2018	9	2018
Unlimited Road-scene Synthetic Annotation (URSA) Dataset M Angus, M ElBalkini, S Khan, A Harakeh, O Andrienko, C Reading, ... 2018 21st International Conference on Intelligent Transportation Systems …, 2018	8	2018
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors A Harakeh, M Smart, SL Waslander arXiv preprint arXiv:1903.03838, 2019	6	2019
Identifying Good Training Data for Self-Supervised Free Space Estimation A Harakeh, D Asmar, E Shammas The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 …, 2016	4	2016
Self-supervised free space estimation in outdoor terrain A Harakeh, D Asmar, E Shammas Robotica 36 (9), 1278-1300, 2018		2018
Towards fully self-supervised free space estimation for unmanned ground vehicles A Harakeh Theses, Dissertations, and Projects, 2016		2016
How Should We Evaluate Probabilistic Object Detectors? A Harakeh, SL Waslander

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