Ali Harakeh
Ali Harakeh
PhD Candidate, University of Toronto Institute For Aerospace Studies (UTIAS)
Verified email at utoronto.ca - Homepage
Title
Cited by
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
3942018
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
642018
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
242018
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
142018
BayesOD: A bayesian approach for uncertainty estimation in deep object detectors
A Harakeh, M Smart, SL Waslander
2020 IEEE International Conference on Robotics and Automation (ICRA), 87-93, 2020
122020
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
122018
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
112015
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
52016
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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