- WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection (ICLR 22)
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Towards A Weakly Supervised Framework for 3D Point Cloud Object Detection and Annotation (T-PAMI 21)
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FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection (ICRA 21)
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Open-set 3D Object Detection (arXiv 21)
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Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views (arXiv 21)
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Weakly Supervised 3D Object Detection from Lidar Point Cloud (ECCV 20)
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Weakly Supervised 3D Object Detection from Point Clouds (ACM MM 20)
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Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector (IV 19)
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LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking (ITSC 19)
- Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation (ITSC 18)