Jordan S. K. Hu

According to our database, Jordan S. K. Hu authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Dense Voxel Fusion for 3D Object Detection.

Anas Mahmoud, Jordan S. K. Hu, Steven L. Waslander

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss.

Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds.

Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun

Proceedings of the Conference on Robot Learning, 2023

Estimating Regression Predictive Distributions with Sample Networks.

Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Point Density-Aware Voxels for LiDAR 3D Object Detection.

Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Pattern-Aware Data Augmentation for LiDAR 3D Object Detection.

Jordan S. K. Hu, Steven L. Waslander

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021