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20172020
most citedLanguage Independent Single Document Image Super-Resolution using CNN for improved recognition

11 citations · 20 across the 2 of their papers we have counts for

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6 papers · 1 filter

cs.CV20199 cited

Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images

Ram Krishna Pandey, Souvik Karmakar, A G Ramakrishnan +1

In this work, we have proposed several enhancements to improve the performance of any facial emotion recognition (FER) system. We believe that the changes in the positions of the f…

cs.CV2018

Binary Document Image Super Resolution for Improved Readability and OCR Performance

Ram Krishna Pandey, K Vignesh, A G Ramakrishnan +1

There is a need for information retrieval from large collections of low-resolution (LR) binary document images, which can be found in digital libraries across the world, where the…

cs.CV2018

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

Ram Krishna Pandey, Nabagata Saha, Samarjit Karmakar +1

With the recent advancement in the deep learning technologies such as CNNs and GANs, there is significant improvement in the quality of the images reconstructed by deep learning ba…

cs.CV2018

Computationally Efficient Approaches for Image Style Transfer

Ram Krishna Pandey, Samarjit Karmakar, A G Ramakrishnan

In this work, we have investigated various style transfer approaches and (i) examined how the stylized reconstruction changes with the change of loss function and (ii) provided a c…

cs.CV2018

Segmentation of Liver Lesions with Reduced Complexity Deep Models

Ram Krishna Pandey, Aswin Vasan, A G Ramakrishnan

We propose a computationally efficient architecture that learns to segment lesions from CT images of the liver. The proposed architecture uses bilinear interpolation with sub-pixel…

cs.CV201711 cited

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

Ram Krishna Pandey, A G Ramakrishnan

Recognition of document images have important applications in restoring old and classical texts. The problem involves quality improvement before passing it to a properly trained OC…