SWADHIN DAS

Employment

• Indian Institute of Technology Roorkee PhD Scholar
  2020 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• FD-HSM: Integrating Feature Diversity and Hierarchical Semantic Modeling for RS Image Captioning
  11th International Conference on Wireless Communications Signal Processing and Networking Wispnet 2026 2026 0 citations DOI: 10.1109/WiSPNET69615.2026.11489424
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• LwEaDT: A Lightweight Edge-Aware Distilled Transformer for Remote Sensing Image Captioning
  IEEE Geoscience and Remote Sensing Letters 2026 1 citation DOI: 10.1109/LGRS.2026.3704222
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• A Novel Lightweight Transformer with Edge-Aware Fusion for Remote Sensing Image Captioning
  Arxiv 2025 0 citations DOI: 10.48550/arXiv.2506.09429
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• A TextGCN-Based Decoding Approach for Improving Remote Sensing Image Captioning
  IEEE Geoscience and Remote Sensing Letters 2025 6 citations DOI: 10.1109/LGRS.2024.3523134
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• Fe-Lws: Refined Image-Text Representations Via Decoder Stacking and Fused Encodings for Remote Sensing Image Captioning
  Ssrn 2025 1 citation DOI: 10.2139/ssrn.5148246
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• Good Representation, Better Explanation: Role of Convolutional Neural Networks in Transformer-based Remote Sensing Image Captioning
  Arxiv 2025 0 citations DOI: 10.48550/arXiv.2502.16095
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• MsEdF: A Multi-stream Encoder-decoder Framework for Remote Sensing Image Captioning
  Arxiv 2025 DOI: 10.48550/arXiv.2502.09282
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• A TextGCN-Based Decoding Approach for Improving Remote Sensing Image Captioning
  Arxiv 2024 DOI: 10.48550/arXiv.2409.18467
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• Unveiling the Power of Convolutional Neural Networks: A Comprehensive Study on Remote Sensing Image Captioning and Encoder Selection
  Proceedings of the International Joint Conference on Neural Networks 2024 4 citations DOI: 10.1109/IJCNN60899.2024.10651443
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• Correcting Low Illumination Images Using PSO-Based Gamma Correction and Image Classifying Method
  Communications in Computer and Information Science 2021 3 citations DOI: 10.1007/978-981-16-1092-9_36
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