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Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors

Jan 19, 2021
Ali Harakeh, Steven L. Waslander

* Published as a conference paper at ICLR 2021. Link: 

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A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving

Nov 20, 2020
Di Feng, Ali Harakeh, Steven Waslander, Klaus Dietmayer

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

Mar 09, 2019
Ali Harakeh, Michael Smart, Steven L. Waslander

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A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection

Sep 13, 2018
Alex D. Pon, Oles Andrienko, Ali Harakeh, Steven L. Waslander

* Accepted in the IEEE 15th Conference on Computer and Robot Vision 

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

Jul 16, 2018
Jungwook Lee, Sean Walsh, Ali Harakeh, Steven L. Waslander

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Unlimited Road-scene Synthetic Annotation (URSA) Dataset

Jul 16, 2018
Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Waslander, Krzysztof Czarnecki

* Accepted in The 21st IEEE International Conference on Intelligent Transportation Systems 

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Joint 3D Proposal Generation and Object Detection from View Aggregation

Jul 12, 2018
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, Steven Waslander

* For any inquiries contact aharakeh(at)uwaterloo(dot)ca 

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

Jan 31, 2018
Jason Ku, Ali Harakeh, Steven L. Waslander

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