2024
FuseMax: Leveraging Extended Einsums to Optimize Attention Accelerator Design.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal Propagation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

LHMap-loc: Cross-Modal Monocular Localization Using LiDAR Point Cloud Heat Map.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Efficient 3D Deep LiDAR Odometry.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Pseudo-LiDAR for Visual Odometry.
IEEE Trans. Instrum. Meas., 2023

DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Residual 3-D Scene Flow Learning With Context-Aware Feature Extraction.
IEEE Trans. Instrum. Meas., 2022

Robust optimization-based fusion of GNSS and Visual-Inertial-Wheel Odometry.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

2021
Hierarchical Attention Learning of Scene Flow in 3D Point Clouds.
IEEE Trans. Image Process., 2021

Residual 3D Scene Flow Learning with Context-Aware Feature Extraction.
CoRR, 2021

PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021