Ground segmentation and occupancy grid generation using probability fields. - Ali Harakeh; Daniel C. Asmar; Elie A. Shammas (IROS, 2015)

Identifying Good Training Data for Self-Supervised Free Space Estimation. - Ali Harakeh; Daniel C. Asmar; Elie A. Shammas (CVPR, 2016)

In Defense of Classical Image Processing: Fast Depth Completion on the CPU. - Jason Ku 001; Ali Harakeh; Steven L. Waslander (CRV, 2018)

A Hierarchical Deep Architecture and Mini-batch Selection Method for Joint Traffic Sign and Light Detection. - Alex D. Pon; Oles Andrienko; Ali Harakeh; Steven L. Waslander (CRV, 2018)

Joint 3D Proposal Generation and Object Detection from View Aggregation. - Jason Ku 001; Melissa Mozifian; Jungwook Lee; Ali Harakeh; Steven L. Waslander (IROS, 2018)

Unlimited Road-scene Synthetic Annotation (URSA) Dataset. - Matt Angus; Mohamed ElBalkini; Samin Khan; Ali Harakeh; Oles Andrienko; Cody Reading; Steven Lake Waslander; Krzysztof Czarnecki 001 (ITSC, 2018)

Leveraging Pre-Trained 3D Object Detection Models for Fast Ground Truth Generation. - Jungwook Lee; Sean Walsh 003; Ali Harakeh; Steven L. Waslander (ITSC, 2018)

Self-supervised free space estimation in outdoor terrain. - Ali Harakeh; Daniel C. Asmar; Elie A. Shammas (Robotica, 2018)

BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. - Ali Harakeh; Michael Smart; Steven L. Waslander (ICRA, 2020)

Categorical Depth Distribution Network for Monocular 3D Object Detection. - Cody Reading; Ali Harakeh; Julia Chae; Steven L. Waslander (CVPR, 2021)

Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. - Ali Harakeh; Steven L. Waslander (ICLR, 2021)

A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. - Di Feng; Ali Harakeh; Steven L. Waslander; Klaus Dietmayer (IEEE Trans. Intell. Transp. Syst., 2022)

Estimating Regression Predictive Distributions with Sample Networks. - Ali Harakeh; Jordan Sir Kwang Hu; Naiqing Guan; Steven L. Waslander; Liam Paull (AAAI, 2023)

Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. - Anas Mahmoud 002; Jordan S. K. Hu; Tianshu Kuai; Ali Harakeh; Liam Paull; Steven L. Waslander (CVPR, 2023)

Image-to-Lidar Relational Distillation for Autonomous Driving Data. - Anas Mahmoud 002; Ali Harakeh; Steven L. Waslander (ECCV (62), 2024)

BACS: Background Aware Continual Semantic Segmentation. - Mostafa ElAraby; Ali Harakeh; Liam Paull (CoRR, 2024)

Bayesian Embeddings for Few-Shot Open World Recognition. - John Willes; James Harrison; Ali Harakeh; Chelsea Finn; Marco Pavone 001; Steven L. Waslander (IEEE Trans. Pattern Anal. Mach. Intell., 2024)