Zixiang Zhou (周子翔)

I am working as a Senior Machine Learning Engineer at Luminar Technologies. I received my Ph.D. degree in the Department of Computer Science at the University of Central Florida (UCF), under the supervision of Dr. Hassan Foroosh. My research interests include 3D computer vision, semantic segmentation and augmented reality.

News

[2024.01] Two papers accepted in ICRA 2024.
[2023.12] I successfully defended my PhD thesis, titled “Towards a Robust and Efficient Deep Neural Network for the Lidar Point Cloud Perception”.
[2023.06] One paper accepted in IROS 2023.
[2023.06] LPFormer gets the top performance in the Waymo Open Dataset Pose Estimation challenge 2023. arXiv, Youtube.
[2022.12] LidarMultiNet is accepted as a oral paper in AAAI 2023.
[2022.09] The official implementation of CenterFormer is publicly available on GitHub.
[2022.09] Our extended paper of LidarMultiNet is released on arXiv. LidarMultiNet currently has the SOTA performances on 5 major LiDAR perception benchmarks.

• Waymo LiDAR semantic segmentation (71.1 mIOU)
• Waymo 3D detection (79.9 mAPH)
• nuScenes 3D detection (71.6 NDS)
• nuScenes LiDAR segmentation (81.4 mIoU)
• nuScenes panoptic segmentation (81.4 PQ)

[2022.07] One oral paper accepted in ECCV 2022.
[2022.05] LidarMultiNet is the official winner of the Waymo Open Dataset 3D semantic segmentation challenge 2022

Work Experience

• Sep. 2023 - Present: Luminar Technologies
  • Senior Machine Learning Engineer
• May. 2021 - Dec. 2022: Tusimple
  • Deep Perception Research Intern
• Aug. 2018 - Dec. 2023: University of Central Florida
  • Research Assistant
• Oct. 2018 - Aug. 2019: Photon-X
  • Software Engineer Intern