Search Results - Kar, Aupendu

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  1. 1
    Self-supervision via Controlled Transformation and Unpaired Self-conditioning for Low-light Image Enhancement

    Self-supervision via Controlled Transformation and Unpaired Self-conditioning for Low-light Image Enhancement by Kar, Aupendu, Dhara, Sobhan Kanti, Sen, Debashis, Biswas, Prabir Kumar

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  2. 2
    RGB-D Fusion Through Zero-Shot Fuzzy Membership Learning for Salient Object Detection

    RGB-D Fusion Through Zero-Shot Fuzzy Membership Learning for Salient Object Detection by Bhuyan, Sudipta, Kar, Aupendu, Sen, Debashis, Deb, Sankha

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  3. 3
    Artificially Generated Visual Scanpath Improves Multilabel Thoracic Disease Classification in Chest X-Ray Images

    Artificially Generated Visual Scanpath Improves Multilabel Thoracic Disease Classification in Chest X-Ray Images by Verma, Ashish, Kar, Aupendu, Ghosh, Krishnendu, Dhara, Sobhan Kanti, Sen, Debashis, Kumar Biswas, Prabir

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  4. 4
    Adapting the Learning Models of Single Image Super-Resolution Into Light-Field Imaging

    Adapting the Learning Models of Single Image Super-Resolution Into Light-Field Imaging by Kar, Aupendu, Nehra, Suresh, Mukherjee, Jayanta, Biswas, Prabir Kumar

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  5. 5
    Sub-Aperture Feature Adaptation in Single Image Super-Resolution Model for Light Field Imaging

    Sub-Aperture Feature Adaptation in Single Image Super-Resolution Model for Light Field Imaging by Kar, Aupendu, Nehra, Suresh, Mukhopadhyay, Jayanta, Biswas, Prabir Kumar

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  6. 6
    Multi-Latent GAN Inversion for Unsupervised 3D Shape Completion

    Multi-Latent GAN Inversion for Unsupervised 3D Shape Completion by Ghosh, Krishnendu, Kar, Aupendu, Bhattacharya, Saumik, Sen, Debashis, Biswas, Prabir Kumar

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  7. 7
    Ultracompression: Framework For High Density Compression Of Ultrasound Volumes Using Physics Modeling Deep Neural Networks

    Ultracompression: Framework For High Density Compression Of Ultrasound Volumes Using Physics Modeling Deep Neural Networks by China, Debarghya, Tom, Francis, Nandamuri, Sumanth, Kar, Aupendu, Srinivasan, Mukundhan, Mitra, Pabitra, Sheet, Debdoot

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  8. 8
    A Randomised Ensemble Learning Approach for Multiclass Motor Imagery Classification Using Error Correcting Output Coding

    A Randomised Ensemble Learning Approach for Multiclass Motor Imagery Classification Using Error Correcting Output Coding by Bera, Sutanu, Roy, Rinku, Sikdar, Debdeep, Kar, Aupendu, Mukhopadhyay, Rupsha, Mahadevappal, Manjunatha

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  9. 9
    Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network

    Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network by Kar, Aupendu, Biswas, Prabir Kumar

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  10. 10
    Progressive Update Guided Interdependent Networks for Single Image Dehazing

    Progressive Update Guided Interdependent Networks for Single Image Dehazing by Kar, Aupendu, Dhara, Sobhan Kanti, Sen, Debashis, Biswas, Prabir Kumar

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  11. 11
    Sub-Aperture Feature Adaptation in Single Image Super-resolution Model for Light Field Imaging

    Sub-Aperture Feature Adaptation in Single Image Super-resolution Model for Light Field Imaging by Kar, Aupendu, Nehra, Suresh, Mukhopadhyay, Jayanta, Biswas, Prabir Kumar

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  12. 12
    A Deep Convolutional Neural Network Based Classification Of Multi-Class Motor Imagery With Improved Generalization

    A Deep Convolutional Neural Network Based Classification Of Multi-Class Motor Imagery With Improved Generalization by Kar, Aupendu, Bera, Sutanu, Karri, S P K, Ghosh, Sudipta, Mahadevappa, Manjunatha, Sheet, Debdoot

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  13. 13
    UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks

    UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks by China, Debarghya, Francis, Tom, Nandamuri, Sumanth, Kar, Aupendu, Srinivasan, Mukundhan, Mitra, Pabitra, Sheet, Debdoot

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  14. 14
    Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms

    Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms by Kar, Aupendu, Sri Phani Krishna Karri, Ghosh, Nirmalya, Ramanathan Sethuraman, Sheet, Debdoot

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