| 2024 | ECCV | Image-to-Lidar Relational Distillation for Autonomous Driving Data. | Anas Mahmoud, Ali Harakeh, Steven L. Waslander |
| 2023 | AAAI | Estimating Regression Predictive Distributions with Sample Networks. | Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull |
| 2023 | CVPR | Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. | Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander |
| 2021 | CVPR | Categorical Depth Distribution Network for Monocular 3D Object Detection. | Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander |
| 2021 | ICLR | Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. | Ali Harakeh, Steven L. Waslander |
| 2020 | ICRA | BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. | Ali Harakeh, Michael Smart, Steven L. Waslander |
| 2018 | IROS | Joint 3D Proposal Generation and Object Detection from View Aggregation. | Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, Steven L. Waslander |
| 2016 | CVPR | Identifying Good Training Data for Self-Supervised Free Space Estimation. | Ali Harakeh, Daniel C. Asmar, Elie A. Shammas |
| 2015 | IROS | Ground segmentation and occupancy grid generation using probability fields. | Ali Harakeh, Daniel C. Asmar, Elie A. Shammas |