Следене
Ali Harakeh
Ali Harakeh
Senior Applied Research Scientist | Mila - Quebec AI Institute
Потвърден имейл адрес: mila.quebec - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
16922018
Categorical Depth Distribution Network for Monocular 3D Object Detection
C Reading, A Harakeh, J Chae, SL Waslander
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021
4702021
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
3072018
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
2122021
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
1412020
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
592018
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
472018
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
A Harakeh, SL Waslander
International Conference on Learning Representations (ICLR 2021), 2021
462021
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
282018
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
A Mahmoud, JSK Hu, T Kuai, A Harakeh, L Paull, SL Waslander
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023
222023
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
192015
Bayesian Embeddings for Few-Shot Open World Recognition
J Willes, J Harrison, A Harakeh, C Finn, M Pavone, S Waslander
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
142022
Identifying Good Training Data for Self-Supervised Free Space Estimation
A Harakeh, D Asmar, E Shammas
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2016), 2016
102016
Adversarial Robustness of Uncertainty Aware Deep Neural Networks
A Harakeh
42018
Estimating Regression Predictive Distributions with Sample Networks
A Harakeh, J Hu, N Guan, SL Waslander, L Paull
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023
32023
Estimating and Evaluating Predictive Uncertainty in Deep Object Detectors
A Harakeh
University of Toronto (Canada), 2021
32021
BACS: Background Aware Continual Semantic Segmentation
M ElAraby, A Harakeh, L Paull
arXiv preprint arXiv:2404.13148, 2024
2024
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
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20