Ram Krishna Pandey

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ERNET India ∙ indian institute of science

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A G Ramakrishnan
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Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images

In this work, we have proposed several enhancements to improve the perfo...
02/12/2019 ∙ by Ram Krishna Pandey, et al. ∙ 0 ∙ share

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Binary Document Image Super Resolution for Improved Readability and OCR Performance

There is a need for information retrieval from large collections of low-...
12/06/2018 ∙ by Ram Krishna Pandey, et al. ∙ 6 ∙ share

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MSCE: An edge preserving robust loss function for improving super-resolution algorithms

With the recent advancement in the deep learning technologies such as CN...
08/25/2018 ∙ by Ram Krishna Pandey, et al. ∙ 0 ∙ share

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Computationally Efficient Approaches for Image Style Transfer

In this work, we have investigated various style transfer approaches and...
07/16/2018 ∙ by Ram Krishna Pandey, et al. ∙ 0 ∙ share

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A hybrid approach of interpolations and CNN to obtain super-resolution

We propose a novel architecture that learns an end-to-end mapping functi...
05/23/2018 ∙ by Ram Krishna Pandey, et al. ∙ 0 ∙ share

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Segmentation of Liver Lesions with Reduced Complexity Deep Models

We propose a computationally efficient architecture that learns to segme...
05/23/2018 ∙ by Ram Krishna Pandey, et al. ∙ 0 ∙ share

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Language Independent Single Document Image Super-Resolution using CNN for improved recognition

Recognition of document images have important applications in restoring ...
01/30/2017 ∙ by Ram Krishna Pandey, et al. ∙ 0 ∙ share

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