Huixian Cheng 程辉先

Currently, I am a LiDAR perception algorithm engineer at Seyond. Previously, I received my master's degree in computer science from Southwest University, Chongqing, China in 2023. Advised by both Prof. Guoqiang Xiao and Prof. Xianfeng Han. I obtained my bachelor's degree in Naval Architecture and Ocean Engineering from Wuhan University of Technology, in 2019.

Email / Github / Google Schlar

Currently, I am focusing on the following topics.

1. 3D Scene Understanding:
   

   Efficient Det & Seg & Tracking in AD & V2X scenarios.

2. Multi-Sensor Fusion:
   

   I am also very interested in sensor fusion, especially between vision cameras and LiDAR.

[2024.01.29] PCB-RandNet has been accepted by ICRA 2024.

[2023.06.25] Join Innovusion.

[2023.05.20] Defended my master's thesis and was recommended as an outstanding thesis. (8/150+)

[2023.02.28] TransRVNet has been accepted by IEEE T-ITS. Not Good & Not Bad.

[2022.03.16] CENet has been accepted by ICME 2022.

[2021.12.02] TransRVNet has been submitted to IEEE T-ITS.

PCB-RandNet: Rethinking Random Sampling for LiDAR Semantic Segmentation in Autonomous Driving Scene
Huixian Cheng, Xianfeng Han, Hang Jiang, Dehong He, Guoqiang Xiao
ICRA, 2024   Code

CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving
Huixian Cheng, Xianfeng Han, Guoqiang Xiao
ICME, 2022   Code

TransRVNet: LiDAR Semantic Segmentation with Transformer
Huixian Cheng, Xianfeng Han, Guoqiang Xiao
IEEE T-ITS, 2023   Code

Website adapted from this source code.