Huan Chen

Orcid: 0000-0003-1965-9107

Affiliations:
  • Beijing Institute of Technology, Beijing, China


According to our database1, Huan Chen authored at least 12 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Hyperspectral Image Classification via Efficient Global Spectral Supertoken Clustering.
CoRR, April, 2026

HyperCOD: The First Challenging Benchmark and Baseline for Hyperspectral Camouflaged Object Detection.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Mixed-Granularity Implicit Representation for Continuous Hyperspectral Compressive Reconstruction.
IEEE Trans. Neural Networks Learn. Syst., September, 2025

Hyperspectral Remote Sensing Images Salient Object Detection: The First Benchmark Dataset and Baseline.
IEEE Trans. Geosci. Remote. Sens., 2025

2024
Spectral-Wise Implicit Neural Representation for Hyperspectral Image Reconstruction.
IEEE Trans. Circuits Syst. Video Technol., May, 2024

Spectrum-Driven Mixed-Frequency Network for Hyperspectral Salient Object Detection.
IEEE Trans. Multim., 2024

Edge Feature Enhancement for Fine-Grained Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

Content-Driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Spectrum-oriented Point-supervised Saliency Detector for Hyperspectral Images.
CoRR, 2024

Multi-scale Change-Aware Transformer for Remote Sensing Image Change Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Dual-Stage Hyperspectral Image Classification Model with Spectral Supertoken.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction.
CoRR, 2023


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