Hi! I’m Jordan Hu, a software engineer at Waabi. I was previously a master’s student at the Toronto Robotics and Artificial Intelligence Lab (TRAIL) where I was supervised by Professor Steven Waslander and researched LiDAR 3D object detection methods. My current research interests are deep learning perception methods for autonomous vehicles in both supervised and self-supervised settings.
Peer-Reviewed Conference Articles
- AJ Yang, S Casas, N Dvornik, S Segal, Y Xiong, JSK Hu, C Fang, R Urtasun, “LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds”, CoRL 2023
- A Mahmoud, JSK Hu, T Kuai, A Harakeh, L Paull, SL Waslander, “Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss”, CVPR 2023.
- A Harakeh, JSK Hu, N Guan, SL Waslander, L Paull, “Estimating Regression Predictive Distributions with Sample Networks”, AAAI 2023
- A Mahmoud, JSK Hu, SL Waslander, “Dense Voxel Fusion for 3D Object Detection”, WACV 2023
- JSK Hu, T Kuai, SL Waslander, “Point Density-Aware Voxels for LiDAR 3D Object Detection”, CVPR 2022
- JSK Hu, and SL Waslander, “Pattern-Aware Data Augmentation for LiDAR 3D Object Detection”, ITSC 2021