22 citations · 61 across the 8 of their papers we have counts for
8 papers
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation
Jerrin Thomas Panachakel, Nandagopal Netrakanti Vinayak, Maanvi Nunna +2
This work proposes improvements in the electroencephalogram (EEG) recording protocols for motor imagery through the introduction of actual motor movement and/or somatosensory cues.…
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…
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…
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…
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…
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…