Ali Harakeh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Comparative Study

Semantic Segmentation

Object Detection

Top Venues

Publications

Mostafa ElAraby, Ali Harakeh, Liam Paull
BACS: Background Aware Continual Semantic Segmentation. CoRR (2024)
John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven L. Waslander
Bayesian Embeddings for Few-Shot Open World Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull
Estimating Regression Predictive Distributions with Sample Networks. AAAI (2023)
Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. CoRR (2023)
Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. CVPR (2023)
Di Feng, Ali Harakeh, Steven L. Waslander, Klaus Dietmayer
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Ali Harakeh, Jordan S. K. Hu, Naiqing Guan, Steven L. Waslander, Liam Paull
Estimating Regression Predictive Distributions with Sample Networks. CoRR (2022)
Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander
Categorical Depth Distribution Network for Monocular 3D Object Detection. CoRR (2021)
Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander
Categorical Depth Distribution Network for Monocular 3D Object Detection. CVPR (2021)
Ali Harakeh, Steven L. Waslander
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. ICLR (2021)
John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven Lake Waslander
Bayesian Embeddings for Few-Shot Open World Recognition. CoRR (2021)
Ali Harakeh, Steven L. Waslander
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. CoRR (2021)
Ali Harakeh, Michael Smart, Steven L. Waslander
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. ICRA (2020)
Di Feng, Ali Harakeh, Steven L. Waslander, Klaus Dietmayer
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. CoRR (2020)
Ali Harakeh, Michael Smart, Steven L. Waslander
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. CoRR (2019)
Jason Ku, Ali Harakeh, Steven Lake Waslander
In Defense of Classical Image Processing: Fast Depth Completion on the CPU. CoRR (2018)
Alex D. Pon, Oles Andrienko, Ali Harakeh, Steven L. Waslander
A Hierarchical Deep Architecture and Mini-batch Selection Method for Joint Traffic Sign and Light Detection. CRV (2018)
Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Lake Waslander, Krzysztof Czarnecki
Unlimited Road-scene Synthetic Annotation (URSA) Dataset. CoRR (2018)
Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Lake Waslander, Krzysztof Czarnecki
Unlimited Road-scene Synthetic Annotation (URSA) Dataset. ITSC (2018)
Alex D. Pon, Oles Andrienko, Ali Harakeh, Steven Lake Waslander
A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection. CoRR (2018)
Jungwook Lee, Sean Walsh, Ali Harakeh, Steven L. Waslander
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation. CoRR (2018)
Jungwook Lee, Sean Walsh, Ali Harakeh, Steven L. Waslander
Leveraging Pre-Trained 3D Object Detection Models for Fast Ground Truth Generation. ITSC (2018)
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, Steven L. Waslander
Joint 3D Proposal Generation and Object Detection from View Aggregation. IROS (2018)
Jason Ku, Ali Harakeh, Steven L. Waslander
In Defense of Classical Image Processing: Fast Depth Completion on the CPU. CRV (2018)
Ali Harakeh, Daniel C. Asmar, Elie A. Shammas
Self-supervised free space estimation in outdoor terrain. Robotica 36 (9) (2018)
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, Steven Lake Waslander
Joint 3D Proposal Generation and Object Detection from View Aggregation. CoRR (2017)
Ali Harakeh, Daniel C. Asmar, Elie A. Shammas
Identifying Good Training Data for Self-Supervised Free Space Estimation. CVPR (2016)
Ali Harakeh, Daniel C. Asmar, Elie A. Shammas
Ground segmentation and occupancy grid generation using probability fields. IROS (2015)