Publications
Journals
Pande, S., Banerjee, B., Self-supervision assisted multimodal remote sensing image classification with coupled self-looping convolution networks. In: Neural Networks. Elsevier, 2023.
pdf | bibtexPande, S., Banerjee, R., HyperLoopNet: Hyperspectral image classification using multiscale self-looping convolutional networks. In : ISPRS journal of Photogrammetry and Remote Sensing. Elsevier, 2022.
pdf | bibtexPande, S., Banerjee, B., Adaptive hybrid attention network for hyperspectral image classification. In: Pattern Recognition Letters. Elsevier, 2021.
pdf | bibtexPatel, A.K., Ghosh, J.K., Pande, S., Sayyad, S.U., Deep learning-based approach for estimation of fractional abundance of nitrogen in soil from hyperspectral data. In: Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE, 2020.
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Conferences
Pande, S., Uzun, B., Guiotte, F., Pham M. T., Corpetti, T., Delerue, F., Lefevre, S., Plant detection from ultra-high resolution remote sensing images: A semantic segmentation approach based on fuzzy loss. In: International Geoscience and Remote Sensing Symposium. IEEE, 2024.
pdf | bibtexUzun, B., Pande, S., Pham, M.T., Cachin-Bernard, G., Lefevre, S., Blatrix, R., McKey, D., Mapping earth mounds from space. In: International Geoscience and Remote Sensing Symposium. IEEE, 2024.
pdf | bibtexPal, S., Khandelwal, R., Pande, S., Banerjee, B., Karanam, S., Domain Adaptive 3D Shape Retrieval from Monocular Images. In: Winter Conference on Applications of Computer Vision, 2024.
pdf | bibtexPande, S., Braham, N.A.A., Wang, Y., Albrecht, C.M., Banerjee, B., Zhu, X.X., Semi-Supervised Learning for Hyperspectral Images by Non Parametrically Predicting View Assignment. In: International Geoscience and Remote Sensing Symposium. IEEE, 2023.
pdf | bibtexSongara, J., Pande, S., Chowdhury, S., Banerjee, B., Velmurugan, R., Visual Question Answering in Remote Sensing with Cross-Attention and Multimodal Information Bottleneck. In: International Geoscience and Remote Sensing Symposium. IEEE, 2023.
pdf | bibtexPande, S., Banerjee, B., Feedback convolution based autoencoder for dimensionality reduction in hyperspectral images. In: International Geoscience and Remote Sensing Symposium. IEEE, 2022.
pdf | bibtexKumar, A., Tamboli, D., Pande, S., Banerjee, B. RSINet: Inpainting remotely sensed images using triple GAN framework. In: International Geoscience and Remote Sensing Symposium. IEEE, 2022.
pdf | bibtexBose, R.,Pande, S., Banerjee, B., Two headed dragons: multimodal fusion and cross modal transactions. In: 2021 IEEE International Conference on Image Processing (ICIP) . IEEE, 2021.
pdf | bibtexPande, S., Banerjee, B., Bidirectional GRU based autoencoder for dimensionality reduction in hyperspectral images. In: International Geoscience and Remote Sensing Symposium. IEEE, 2021.
pdf | bibtexPande, S., Banerjee, B., Attention based convolution autoencoder for dimensionality reduction in hyperspectral images. In: International Geoscience and Remote Sensing Symposium. IEEE, 2021.
pdf | bibtexPande, S., Banerjee, B., Dimensionality reduction using 3D residual autoencoder for hyperspectral image classification. In: International Geoscience and Remote Sensing Symposium. IEEE, 2020.
pdf |bibtexJha, A., Kumar, A., Pande, S., Banerjee, B., and Chaudhuri, S., MT-UNET: A novel U-NET based multi-task architecture for visual scene understanding. In: 2020 IEEE International Conference on Image Processing (ICIP), pages 2191–2195. IEEE, 2020.
pdf | bibtexMohla, S., Pande, S., Banerjee, B. and Chaudhuri, S., 2020. Fusatnet: Dual attention based spectrospatial multimodal fusion network for hyperspectral and lidar classification. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 92–93.
pdf | bibtexPande, S., Banerjee, A., Kumar, S., Banerjee, B. and Chaudhuri, S., 2019a. An adversarial approach to discriminative modality distillation for remote sensing image classification. In: Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 0–0.
pdf | bibtexPande, S., Banerjee, B. and Pizurica, A., 2019b. Class reconstruction driven adversarial domain adaptation for hyperspectral image classification. In: Iberian Conference on Pattern Recognition and Image Analysis, Springer, pp. 472–484.
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