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2020 – today
- 2024
[j3]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): 1513-1529 (2024)- [c13]Anas Mahmoud, Ali Harakeh, Steven L. Waslander:
Image-to-Lidar Relational Distillation for Autonomous Driving Data. ECCV (62) 2024: 459-475 - [i14]Mostafa ElAraby, Ali Harakeh, Liam Paull:
BACS: Background Aware Continual Semantic Segmentation. CoRR abs/2404.13148 (2024) - [i13]Anas Mahmoud, Ali Harakeh, Steven Lake Waslander:
Image-to-Lidar Relational Distillation for Autonomous Driving Data. CoRR abs/2409.00845 (2024) - 2023
- [c12]Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull:
Estimating Regression Predictive Distributions with Sample Networks. AAAI 2023: 7830-7838 - [c11]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: 7102-7110 - [i12]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 abs/2301.05709 (2023) - 2022
- [j2]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): 9961-9980 (2022) - [i11]Ali Harakeh, Jordan S. K. Hu, Naiqing Guan, Steven L. Waslander, Liam Paull:
Estimating Regression Predictive Distributions with Sample Networks. CoRR abs/2211.13724 (2022) - 2021
- [c10]Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander:
Categorical Depth Distribution Network for Monocular 3D Object Detection. CVPR 2021: 8555-8564 - [c9]Ali Harakeh, Steven L. Waslander:
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. ICLR 2021 - [i10]Ali Harakeh, Steven L. Waslander:
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. CoRR abs/2101.05036 (2021) - [i9]Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander:
Categorical Depth Distribution Network for Monocular 3D Object Detection. CoRR abs/2103.01100 (2021) - [i8]John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven Lake Waslander:
Bayesian Embeddings for Few-Shot Open World Recognition. CoRR abs/2107.13682 (2021) - 2020
- [c8]Ali Harakeh, Michael Smart, Steven L. Waslander:
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. ICRA 2020: 87-93 - [i7]Di Feng, Ali Harakeh, Steven L. Waslander, Klaus Dietmayer:
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. CoRR abs/2011.10671 (2020)
2010 – 2019
- 2019
- [i6]Ali Harakeh, Michael Smart, Steven L. Waslander:
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. CoRR abs/1903.03838 (2019) - 2018
- [j1]Ali Harakeh, Daniel C. Asmar, Elie A. Shammas:
Self-supervised free space estimation in outdoor terrain. Robotica 36(9): 1278-1300 (2018) - [c7]Jason Ku, Ali Harakeh, Steven L. Waslander:
In Defense of Classical Image Processing: Fast Depth Completion on the CPU. CRV 2018: 16-22 - [c6]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: 102-109 - [c5]Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, Steven L. Waslander:
Joint 3D Proposal Generation and Object Detection from View Aggregation. IROS 2018: 1-8 - [c4]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: 985-992 - [c3]Jungwook Lee, Sean Walsh, Ali Harakeh, Steven L. Waslander:
Leveraging Pre-Trained 3D Object Detection Models for Fast Ground Truth Generation. ITSC 2018: 2504-2510 - [i5]Jason Ku, Ali Harakeh, Steven Lake Waslander:
In Defense of Classical Image Processing: Fast Depth Completion on the CPU. CoRR abs/1802.00036 (2018) - [i4]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 abs/1806.07987 (2018) - [i3]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 abs/1807.06056 (2018) - [i2]Jungwook Lee, Sean Walsh, Ali Harakeh, Steven L. Waslander:
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation. CoRR abs/1807.06072 (2018) - 2017
- [i1]Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, Steven Lake Waslander:
Joint 3D Proposal Generation and Object Detection from View Aggregation. CoRR abs/1712.02294 (2017) - 2016
- [c2]Ali Harakeh, Daniel C. Asmar, Elie A. Shammas:
Identifying Good Training Data for Self-Supervised Free Space Estimation. CVPR 2016: 3530-3538 - 2015
- [c1]Ali Harakeh, Daniel C. Asmar, Elie A. Shammas:
Ground segmentation and occupancy grid generation using probability fields. IROS 2015: 695-702
Coauthor Index
aka: Steven L. Waslander
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