Ali Harakeh
Ali Harakeh
IVADO Postdoctoral Research Fellow | Mila - Quebec AI Institute, University of Montreal
Verified email at mila.quebec - 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
7232018
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
1182018
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, 2019
402019
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
352018
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
242018
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
162015
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
152018
Categorical Depth Distribution Network for Monocular 3D Object Detection
C Reading, A Harakeh, J Chae, SL Waslander
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021
102021
A review and comparative study on probabilistic object detection in autonomous driving
D Feng, A Harakeh, SL Waslander, K Dietmayer
IEEE Transactions on Intelligent Transportation Systems, 2021
92021
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
A Harakeh, SL Waslander
International Conference on Learning Representations (ICLR 2021), 2021
52021
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
Bayesian Embeddings for Few-Shot Open World Recognition
J Willes, J Harrison, A Harakeh, C Finn, M Pavone, S Waslander
arXiv preprint arXiv:2107.13682, 2021
2021
Open-Set Incremental Learning via Bayesian Prototypical Embeddings
J Willes, J Harrison, A Harakeh, C Finn, M Pavone, S Waslander
2020
How Should We Evaluate Probabilistic Object Detectors?
A Harakeh, SL Waslander
2019
Self-supervised free space estimation in outdoor terrain
A Harakeh, D Asmar, E Shammas
Robotica 36 (9), 1278-1300, 2018
2018
Adversarial Robustness of Uncertainty Aware Deep Neural Networks
A Harakeh
2018
Towards fully self-supervised free space estimation for unmanned ground vehicles
A Harakeh
Theses, Dissertations, and Projects, 2016
2016
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Articles 1–17