Kyle Gao

Orcid: 0000-0002-8320-6308

According to our database1, Kyle Gao authored at least 30 papers between 2021 and 2024.

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Bibliography

2024
Scene-Aware Online Calibration of LiDAR and Cameras for Driving Systems.
IEEE Trans. Instrum. Meas., 2024

3DGTN: 3-D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2024

Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery.
CoRR, 2024

L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection.
CoRR, 2024

Efficient Point Transformer with Dynamic Token Aggregating for Point Cloud Processing.
CoRR, 2024

3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation.
CoRR, 2024

Enhanced 3D Urban Scene Reconstruction and Point Cloud Densification using Gaussian Splatting and Google Earth Imagery.
CoRR, 2024

Retrieving heavy metal concentrations in urban soil using satellite hyperspectral imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2024

Dynamic clustering transformer network for point cloud segmentation.
Int. J. Appl. Earth Obs. Geoinformation, 2024

Object detection in aerial images using DOTA dataset: A survey.
Int. J. Appl. Earth Obs. Geoinformation, 2024

Synchronizing Spatiotemporal Reflectance Fusion via Dual Bayesian Nonparametric Inference and Explicit Downsampling.
Proceedings of the IGARSS 2024, 2024

2023
Coarse-to-fine matching via cross fusion of satellite images.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023

SAR-Optical Image Matching With Semantic Position Probability Distribution.
IEEE Trans. Geosci. Remote. Sens., 2023

BrGAN: Blur Resist Generative Adversarial Network With Multiple Joint Dilated Residual Convolutions for Chlorophyll Color Image Restoration.
IEEE Trans. Geosci. Remote. Sens., 2023

Dynamic Clustering Transformer Network for Point Cloud Segmentation.
CoRR, 2023

Nighttime Light Missing Data Retrieval Using Modis Version 6 Satellite Data and Mask Dilated Partial Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Natural Language Aided Remote Sensing Image Few-Shot Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Research on Fast Detection Method of Wind Turbine in Remote Sensing Image Land Area Based on Yolo.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification.
IEEE Trans. Intell. Transp. Syst., 2022

NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review.
CoRR, 2022

3DPCT: 3D Point Cloud Transformer with Dual Self-attention.
CoRR, 2022

Weakly supervised high spatial resolution land cover mapping based on self-training with weighted pseudo-labels.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Dynamic monitoring and modeling of the growth-poverty-inequality trilemma in the Nile River Basin with consistent night-time data (2000-2020).
Int. J. Appl. Earth Obs. Geoinformation, 2022

WSPointNet: A multi-branch weakly supervised learning network for semantic segmentation of large-scale mobile laser scanning point clouds.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Mask R-CNN based automated identification and extraction of oil well sites.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Super-resolving and composing building dataset using a momentum spatial-channel attention residual feature aggregation network.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Optimizing and Evaluating Swin Transformer for Aircraft Classification: Analysis and Generalizability of the MTARSI Dataset.
IEEE Access, 2022

2021
Airborne multispectral LiDAR point cloud classification with a feature Reasoning-based graph convolution network.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Fusion of Hyperspectral-Multispectral images joining Spatial-Spectral Dual-Dictionary and structured sparse Low-rank representation.
Int. J. Appl. Earth Obs. Geoinformation, 2021

The Impact of Data Volume on Performance of Depp Learning Based Building Rooftop Extraction Using Very High Spatial Resolution Aerial Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


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