3D Object Detection

CG Stereo: Confidence Guided Stereo 3D Object Detection

Chengyao Li, Jason Ku, and Steven L. Waslander.

Confidence Guided Stereo 3D Object Detection with Split Depth Estimation.

IROS 2020.

Confidence-guided stereo 3D object detection pipeline that uses separate decoders for foreground and background pixels during depth estimation..

Paper

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OC Stereo: Stereo 3D Object Detection

Alex D. Pon, Jason Ku, Chengyao Li, and Steven L. Waslander.

Object-Centric Stereo Matching for 3D Object Detection.

ICRA 2020.

Object-centric stereo matching module that focuses on predicting the disparities of objects of interest to remove streaking artifacts.

Paper

Video

BayesOD: Uncertainty Estimation in Deep Object Detectors

Ali Harakeh, Michael Smart, Steven L. Waslander.

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

ICRA 2020.

An uncertainty estimation approach that reformulates the standard object detector inference and Non-Maximum suppression components from a Bayesian perspective.

Paper

Code

VMVS: 3D Pedestrian Orientation Estimation

Jason Ku, Alex D. Pon, Sean Walsh, and Steven L. Waslander.

Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation.

IROS 2019.

Virtual Multi-View Synthesis module for improving orientation estimation of pedestrians.

Paper

Video

MonoPSR: Monocular 3D Object Detection

Jason Ku, Alex D. Pon, and Steven L. Waslander.

Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction.

CVPR 2019.

Monocular 3D object detection method that uses proposals and leverages shape reconstruction. Can be found on the KITTI benchmark under MonoPSR.

Paper

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Code

AVOD: Aggregate View Object Detection

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

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

IROS 2018.

LiDAR and image fusion for real-time 3D object detection.

Paper

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Code