Kai Jiang
Orcid: 0000-0001-9921-2043
According to our database1,
Kai Jiang
authored at least 24 papers
between 2020 and 2025.
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Collaborative distances:
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Bibliography
2025
SHAA: Spatial Hybrid Attention Network With Adaptive Cross-Entropy Loss Function for UAV-View Geo-Localization.
IEEE Trans. Circuits Syst. Video Technol., September, 2025
IEEE Trans. Circuits Syst. Video Technol., August, 2025
M<sup>3</sup>amba: CLIP-driven Mamba Model for Multi-modal Remote Sensing Classification.
CoRR, March, 2025
A Signature-Constrained Two-Stage Framework for Hyperspectral Target Detection Based on Generative Self-Supervised Learning.
IEEE Trans. Geosci. Remote. Sens., 2025
Hyperspectral Target Detection Based on Generative Self-Supervised Learning With Wavelet Transform.
IEEE Trans. Geosci. Remote. Sens., 2025
Neural Networks, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Trans. Neural Networks Learn. Syst., December, 2024
Distribution-Aware Interactive Attention Network and Large-Scale Cloud Recognition Benchmark on FY-4A Satellite Image.
IEEE Trans. Geosci. Remote. Sens., 2024
Distribution-aware Interactive Attention Network and Large-scale Cloud Recognition Benchmark on FY-4A Satellite Image.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
REAF: Remembering Enhancement and Entropy-Based Asymptotic Forgetting for Filter Pruning.
IEEE Trans. Image Process., 2023
IEEE Trans. Geosci. Remote. Sens., 2023
Weakly supervised adversarial learning via latent space for hyperspectral target detection.
Pattern Recognit., 2023
CoRR, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
E2E-LIADE: End-to-End Local Invariant Autoencoding Density Estimation Model for Anomaly Target Detection in Hyperspectral Image.
IEEE Trans. Cybern., 2022
2021
PTGAN: A Proposal-Weighted Two-Stage GAN with Attention for Hyperspectral Target Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2020