Xiang Li

Orcid: 0000-0002-9946-7000

Affiliations:
  • New York University, Tandon School of Engineering, NY, USA
  • Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (PhD 2019)


According to our database1, Xiang Li authored at least 38 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
RS-CLIP: Zero shot remote sensing scene classification via contrastive vision-language supervision.
Int. J. Appl. Earth Obs. Geoinformation, November, 2023

Unsupervised Category-Specific Partial Point Set Registration via Joint Shape Completion and Registration.
IEEE Trans. Vis. Comput. Graph., July, 2023

2022
GP-Aligner: Unsupervised Groupwise Nonrigid Point Set Registration Based on Optimizable Group Latent Descriptor.
IEEE Trans. Geosci. Remote. Sens., 2022

Few-Shot Object Detection on Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Geometry-Aware Segmentation of Remote Sensing Images via Joint Height Estimation.
IEEE Geosci. Remote. Sens. Lett., 2022

Height Estimation From Single Aerial Images Using a Deep Ordinal Regression Network.
IEEE Geosci. Remote. Sens. Lett., 2022

Few-Shot Segmentation of Remote Sensing Images Using Deep Metric Learning.
IEEE Geosci. Remote. Sens. Lett., 2022

Road Extraction From Remote Sensing Images in Wildland-Urban Interface Areas.
IEEE Geosci. Remote. Sens. Lett., 2022

Meta-Det3D: Learn to Learn Few-Shot 3D Object Detection.
Proceedings of the Computer Vision - ACCV 2022, 2022

Unsupervised 3D Shape Representation Learning Using Normalizing Flow.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Topology Constrained Shape Correspondence.
IEEE Trans. Vis. Comput. Graph., 2021

Geo-Parcel-Based Change Detection Using Optical and SAR Images in Cloudy and Rainy Areas.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes.
CoRR, 2021

3D-MetaConNet: Meta-learning for 3D Shape Classification and Segmentation.
Proceedings of the International Conference on 3D Vision, 2021

2020
3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds.
CoRR, 2020

3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence.
CoRR, 2020

Deep-3DAligner: Unsupervised 3D Point Set Registration Network With Optimizable Latent Vector.
CoRR, 2020

Unsupervised Partial Point Set Registration via Joint Shape Completion and Registration.
CoRR, 2020

GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration Based On Optimized Group Latent Descriptor.
CoRR, 2020

DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow.
CoRR, 2020

Unsupervised Learning of Global Registration of Temporal Sequence of Point Clouds.
CoRR, 2020

Few-shot Object Detection on Remote Sensing Images.
CoRR, 2020

Unsupervised Learning of 3D Point Set Registration.
CoRR, 2020

Geometry-Aware Segmentation of Remote Sensing Images via implicit height estimation.
CoRR, 2020

Airborne LiDAR Point Cloud Classification with Graph Attention Convolution Neural Network.
CoRR, 2020

3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Robust Image Matching By Dynamic Feature Selection.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
A Sample Update-Based Convolutional Neural Network Framework for Object Detection in Large-Area Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2019

Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification.
CoRR, 2019

Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification.
CoRR, 2019

Non-Rigid Point Set Registration Networks.
CoRR, 2019

Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Dynamic Feature Fusion for Semantic Edge Detection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

PC-Net: Unsupervised Point Correspondence Learning with Neural Networks.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Building-A-Nets: Robust Building Extraction From High-Resolution Remote Sensing Images With Adversarial Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

2017
Dynamic Monitoring of the Largest Freshwater Lake in China Using a New Water Index Derived from High Spatiotemporal Resolution Sentinel-1A Data.
Remote. Sens., 2017

A Framework of the Urban Pulsation Analysis.
Proceedings of the Fuzzy Systems and Data Mining III, 2017


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