| 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 | 1122 | 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 | 184 | 2018 |
| 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 | 147 | 2021 |
| 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 | 73 | 2020 |
| 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 | 59 | 2021 |
| 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 | 42 | 2018 |
| 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 | 34 | 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 | 24 | 2018 |
| Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors A Harakeh, SL Waslander International Conference on Learning Representations (ICLR 2021), 2021 | 20 | 2021 |
| 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 | 16 | 2015 |
| 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 | 10 | 2016 |
| 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 | 4 | 2022 |
| Adversarial Robustness of Uncertainty Aware Deep Neural Networks A Harakeh | 4 | 2018 |
| Estimating Regression Predictive Distributions with Sample Networks A Harakeh, J Hu, N Guan, SL Waslander, L Paull arXiv preprint arXiv:2211.13724, 2022 | | 2022 |
| Estimating and Evaluating Predictive Uncertainty in Deep Object Detectors A Harakeh University of Toronto (Canada), 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 |
| Towards fully self-supervised free space estimation for unmanned ground vehicles A Harakeh Theses, Dissertations, and Projects, 2016 | | 2016 |
Steven WaslanderUniversity of TorontoVerified email at robotics.utias.utoronto.ca
