Pattern-Aware Data Augmentation for LiDAR 3D Object Detection. - Jordan S. K. Hu; Steven L. Waslander (ITSC, 2021)

Point Density-Aware Voxels for LiDAR 3D Object Detection. - Jordan S. K. Hu; Tianshu Kuai; Steven L. Waslander (CVPR, 2022)

Estimating Regression Predictive Distributions with Sample Networks. - Ali Harakeh; Jordan Sir Kwang Hu; Naiqing Guan; Steven L. Waslander; Liam Paull (AAAI, 2023)

LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. - Anqi Joyce Yang; Sergio Casas 002; Nikita Dvornik; Sean Segal; Yuwen Xiong; Jordan Sir Kwang Hu; Carter Fang; Raquel Urtasun (CoRL, 2023)

Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. - Anas Mahmoud 002; Jordan S. K. Hu; Tianshu Kuai; Ali Harakeh; Liam Paull; Steven L. Waslander (CVPR, 2023)

Dense Voxel Fusion for 3D Object Detection. - Anas Mahmoud 002; Jordan S. K. Hu; Steven L. Waslander (WACV, 2023)