A cross-modal Siamese representation learning network for point cloud understanding.

FLFusionSR: a fast and lightweight fusion and super-resolution network for infrared and visible images on edge devices.

A Novel Teacher-Student Framework With Degradation Model for Infrared-Visible Image Fusion.

Cardinality estimation of activity trajectory similarity queries using deep learning.

Tinba: Incremental partitioning for efficient trajectory analytics.

Underwater object detection by fusing features from different representations of sonar data.

Real-Time Semantic Segmentation of LiDAR Point Clouds on Edge Devices for Unmanned Systems.

Real-Time 3-D Semantic Scene Parsing With LiDAR Sensors.

A Method for Solving Approximate Partition Boundaries of Spatial Big Data Based on Histogram Bucket Sampling.

A Survey of Spatio-Temporal Big Data Indexing Methods in Distributed Environment.

OctreeNet: A Novel Sparse 3-D Convolutional Neural Network for Real-Time 3-D Outdoor Scene Analysis.

Automatic Generation of Synthetic LiDAR Point Clouds for 3-D Data Analysis.

Comparison of 2D image models in segmentation performance for 3D laser point clouds.