Li-Hua Wen ,Kang-Hyun Jo, Three-Attention Mechanisms based One-Stage
LiDAR-Camera-based 3D Object Detection, IEEE Transactions on Industrial Informatics, pp.1-10, 12 2020.
[2]
Li-Hua Wen ,Kang-Hyun Jo, Fast and Accurate 3D Object Detection for LiDAR-camera-based Autonomous Vehicles using One Shared Voxel-based Backbone, IEEE Access, pp.1-10, 0 2020.
[3]
Li-Hua Wen Kang-Hyun Jo, Deep Learning-based 3D Object Detection for Autonomous Driving:
A Survey, Neurocomputing, pp.1-12, 0 2020 (Accepted).
International Conference [10 Papers]
2021
[1]
Li-Hua Wen ,Kang-Hyun Jo, A Lightweight Attention Fusion Module for Multiple-Sensor 3-D Object Detection, ICIC2021, Shenzhen, Guangdong, China, Aug 12, 2021.
[2]
Li-Hua Wen ,Kang-Hyun Jo, A Light-Weight One-Stage 3D Object Detector Based on LiDAR and Camera, ISIE 2021, Miyako Messe, Kyoto, Japan, Jun 20, 2021.
2020
[1]
Li-Hua Wen Kang-Hyun Jo, Analysis of Various Point Clouds Feature Encoders
for Two-Sensor-based 3D Object Detection, IWIS 2020, Ulsan, Korea, Dec 13, 2020.
Li-Hua Wen Kang-Hyun Jo, LiDAR-Camera-Based Deep Dense Fusion Robust 3D Object Detection, ICIC 2020, Bari, Italy, Oct 2, 2020.
2019
[1]
Kang-Hyun JoLi-Hua Wen , Fully Convolutional Neural Networks for 3D Vehicle Detection Based on Point Clouds, ICIC 2019, Nanchang,China , Aug 3, 2019.
2017
[1]
Li-Hua Wen Kang-Hyun Jo, Traffic Sign Recognition and Classification with Modified Residual Networks, SII 2017, Taipei, Taiwan, Dec 11, 2017.
[2]
Li-Hua Wen Kang-Hyun Jo, Efficient and Robust Drivable Region Extraction for Autonomous Vehicles, ICCAS 2017, Jeju, Korea, Oct 18, 2017.
2016
[1]
Li-Hua Wen , Kang-Hyun Jo, Vehicle Localization and Navigation on Region with Disappeared Lane Line Marking, SII 2016, Sapporo, Japan, Dec 13, 2016 pp.5.