Wei Chen

Orcid: 0000-0001-9937-4122

Affiliations:
  • Wuhan University, School of Remote Sensing and Information Engineering, China


According to our database1, Wei Chen authored at least 15 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Tuning-Free Long Video Generation via Global-Local Collaborative Diffusion.
CoRR, January, 2025

2024
UniAvatar: Taming Lifelike Audio-Driven Talking Head Generation with Comprehensive Motion and Lighting Control.
CoRR, 2024

TV-3DG: Mastering Text-to-3D Customized Generation with Visual Prompt.
CoRR, 2024

FaceVid-1K: A Large-Scale High-Quality Multiracial Human Face Video Dataset.
CoRR, 2024

Real Face Video Animation Platform.
CoRR, 2024

One-Shot Pose-Driving Face Animation Platform.
CoRR, 2024

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.
CoRR, 2024

Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation.
CoRR, 2024

Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph.
CoRR, 2024

2023
HS<sup>2</sup>P: Hierarchical spectral and structure-preserving fusion network for multimodal remote sensing image cloud and shadow removal.
Inf. Fusion, June, 2023

MFVNet: a deep adaptive fusion network with multiple field-of-views for remote sensing image semantic segmentation.
Sci. China Inf. Sci., April, 2023

2022
DNAS: Decoupling Neural Architecture Search for High-Resolution Remote Sensing Image Semantic Segmentation.
Remote. Sens., 2022

ElegantSeg: End-to-End Holistic Learning for Extra-Large Image Semantic Segmentation.
CoRR, 2022

2020
Unsupervised Style Transfer via Dualgan for Cross-Domain Aerial Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Deep Networks Under Block-Level Supervision for Pixel-Level Cloud Detection in Multi-Spectral Satellite Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020


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