Ali Harakeh

According to our database, Ali Harakeh authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bayesian Embeddings for Few-Shot Open World Recognition.

John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven L. Waslander

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

BACS: Background Aware Continual Semantic Segmentation.

Mostafa ElAraby, Ali Harakeh, Liam Paull

CoRR, 2024

Image-to-Lidar Relational Distillation for Autonomous Driving Data.

Anas Mahmoud, Ali Harakeh, Steven L. Waslander

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Estimating Regression Predictive Distributions with Sample Networks.

Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

2021

Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors.

Ali Harakeh, Steven L. Waslander

Proceedings of the 9th International Conference on Learning Representations, 2021

Categorical Depth Distribution Network for Monocular 3D Object Detection.

Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors.

Ali Harakeh, Michael Smart, Steven L. Waslander

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2018

Self-supervised free space estimation in outdoor terrain.

Ali Harakeh, Daniel C. Asmar, Elie A. Shammas

Robotica, 2018

Leveraging Pre-Trained 3D Object Detection Models for Fast Ground Truth Generation.

Jungwook Lee, Sean Walsh, Ali Harakeh, Steven L. Waslander

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 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

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Joint 3D Proposal Generation and Object Detection from View Aggregation.

Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, Steven L. Waslander

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the 15th Conference on Computer and Robot Vision, 2018

In Defense of Classical Image Processing: Fast Depth Completion on the CPU.

Jason Ku, Ali Harakeh, Steven L. Waslander

Proceedings of the 15th Conference on Computer and Robot Vision, 2018

2016

Identifying Good Training Data for Self-Supervised Free Space Estimation.

Ali Harakeh, Daniel C. Asmar, Elie A. Shammas

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Ground segmentation and occupancy grid generation using probability fields.

Ali Harakeh, Daniel C. Asmar, Elie A. Shammas

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015