Yuebin Wang

According to our database1, Yuebin Wang authored at least 19 papers between 2014 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
WeGAN: Deep Image Hashing With Weighted Generative Adversarial Networks.
IEEE Trans. Multimedia, 2020

Deep Learning for Multilabel Remote Sensing Image Annotation With Dual-Level Semantic Concepts.
IEEE Trans. Geosci. Remote. Sens., 2020

Supervised High-Level Feature Learning With Label Consistencies for Object Recognition.
IEEE Trans. Geosci. Remote. Sens., 2020

Latent Relationship Guided Stacked Sparse Autoencoder for Hyperspectral Imagery Classification.
IEEE Trans. Geosci. Remote. Sens., 2020

Shadow effect weakening based on intrinsic image extraction with effective projection of logarithmic domain for road scene.
Signal, Image and Video Processing, 2020

Multi-View Features Joint Learning with Label and Local Distribution Consistency for Point Cloud Classification.
Remote. Sens., 2020

2019
Self-Supervised Feature Learning With CRF Embedding for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

PSASL: Pixel-Level and Superpixel-Level Aware Subspace Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

2018
LRAGE: Learning Latent Relationships With Adaptive Graph Embedding for Aerial Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2018

Self-Supervised Low-Rank Representation (SSLRR) for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2018

Joint Margin, Cograph, and Label Constraints for Semisupervised Scene Parsing From Point Clouds.
IEEE Trans. Geosci. Remote. Sens., 2018

2017
Learning a Discriminative Distance Metric With Label Consistency for Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2017

A feature extraction and similarity metric-learning framework for urban model retrieval.
Int. J. Geogr. Inf. Sci., 2017

3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
A Multilevel Point-Cluster-Based Discriminative Feature for ALS Point Cloud Classification.
IEEE Trans. Geosci. Remote. Sens., 2016

A Three-Layered Graph-Based Learning Approach for Remote Sensing Image Retrieval.
IEEE Trans. Geosci. Remote. Sens., 2016

A Three-Step Approach for TLS Point Cloud Classification.
IEEE Trans. Geosci. Remote. Sens., 2016

2015
A Gestalt rules and graph-cut-based simplification framework for urban building models.
Int. J. Appl. Earth Obs. Geoinformation, 2015

2014
A Structure-Aware Global Optimization Method for Reconstructing 3-D Tree Models From Terrestrial Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens., 2014


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