Debabrata Pal

Employment

• Honeywell International Inc

Education

• Indian Institute of Technology Bombay Ph.D.
  2019 - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues
  2025 DOI: 10.1007/978-3-031-74640-6_32
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• Vision-Language Modeling with Regularized Spatial Transformer Networks for All Weather Crosswind Landing of Aircraft
  2024 DOI: 10.1145/3702250.3702255
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• Few-shot open-set recognition of hyperspectral images
  2024 DOI: 10.1016/B978-0-44-319077-3.00008-0
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• Multiscale probability map guided index pooling with attention-based learning for road and building segmentation
  ISPRS Journal of Photogrammetry and Remote Sensing 2023 DOI: 10.1016/j.isprsjprs.2023.11.002
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• MAML-SR: Self-adaptive super-resolution networks via multi-scale optimized attention-aware meta-learning
  Pattern Recognition Letters 2023 DOI: 10.1016/j.patrec.2023.08.004
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• MORGAN: Meta-Learning-based Few-Shot Open-Set Recognition via Generative Adversarial Network
  2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023 DOI: 10.1109/wacv56688.2023.00623
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• Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images
  IEEE Transactions on Geoscience and Remote Sensing 2023 DOI: 10.1109/TGRS.2023.3276952
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• SIRT: Machine-Learning-based Selective Intensity Range Thresholding for Aircraft Visual Docking Guidance Refinement and Interpretation
  2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) 2022 DOI: 10.1109/conecct55679.2022.9865711
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• Few-Shot Open-Set Recognition of Hyperspectral Images With Outlier Calibration Network
  Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 2022 DOI: 10.1109/WACV51458.2022.00215
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• SPN: Stable Prototypical Network for Few-Shot Learning-Based Hyperspectral Image Classification
  IEEE Geoscience and Remote Sensing Letters 2022 DOI: 10.1109/LGRS.2021.3085522
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