Ram Krishna Pandey
Ram Krishna Pandey
GE Research & IISc, Bangalore, India
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Cited by
Cited by
Improving facial emotion recognition systems using gradient and laplacian images
RK Pandey, S Karmakar, AG Ramakrishnan, N Saha
arXiv preprint arXiv:1902.05411, 2019
Binary document image super resolution for improved readability and OCR performance
RK Pandey, K Vignesh, AG Ramakrishnan
arXiv preprint arXiv:1812.02475, 2018
Segmentation of Liver Lesions with Reduced Complexity Deep Models
RK Pandey, A Vasan, AG Ramakrishnan
arXiv:1805.09233, 2018
MSCE: An Edge-Preserving Robust Loss Function for Improving Super-Resolution Algorithms
RK Pandey, N Saha, S Karmakar, AG Ramakrishnan
25th International Conference on Neural Information Processing, Siem Reap …, 2018
Efficient Document-Image Super-Resolution Using Convolutional Neural Network
RK Pandey, AG Ramakrishnan
Sadhana, 2018
Language independent single document image super-resolution using CNN for improved recognition
RK Pandey, AG Ramakrishnan
arXiv preprint arXiv:1701.08835, 2017
A new approach for upscaling document images for improving their quality
RK Pandey, SR Maiya, AG Ramakrishnan
2017 14th IEEE India Council International Conference (INDICON), 1-6, 2017
Effects of Modifying the Input Features and the Loss Function on Improving Emotion Classification
RK Pandey, AG Ramakrishnan, S Karmakar
IEEE Region 10 TENCON 2019, 2019
DeepInterpolation: fusion of multiple interpolations and CNN to obtain super‐resolution
RK Pandey, R Angarai Ganesan
IET Image Processing 14 (15), 4000-4011, 2020
Improving Facial Emotion Recognition Systems with Crucial Feature Extractors
RK Pandey, S Karmakar, AG Ramakrishnan, N Saha
20th International Conference on Image Analysis and Processing, Trento, Italy, 2019
A hybrid approach of interpolations and CNN to obtain super-resolution
RK Pandey, AG Ramakrishnan
arXiv preprint arXiv:1805.09400, 2018
Improving the Perceptual Quality of Document Images Using Deep Neural Network
RK Pandey, AG Ramakrishnan
16th International Symposium on Neural Networks, Moscow Russia, 2019
Investigation of liver-targeted peripheral Focused Ultrasound Stimulation (pFUS) and its effect on glucose homeostasis and insulin resistance in Type 2 Diabetes Mellitus: a …
A Jeffrey, G John, M Radhika, W Kirk, C Victoria, A Samantha, ...
QJM: An International Journal of Medicine, 2023
TrueDeep: A systematic approach of crack detection with less data
R Pandey, A Achara
Expert Systems with Applications 242, 122785, 2024
Improvement of Image Denoising Algorithms by Preserving the Edges
RK Pandey, H Singh, AG Ramakrishnan
18th International Conference on Computer Analysis of Images and Patterns …, 2019
Computationally efficient approaches for image style transfer
RK Pandey, S Karmakar, AG Ramakrishnan
15th IEEE India Council International Conference (INDICON 2018), 2018
Revealing the Underlying Patterns: Investigating Dataset Similarity, Performance, and Generalization
A Achara, RK Pandey
Neurocomputing, 2024
CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity
RK Pandey, A Achara
Computer Vision & Image Processing, 2023
The Fifth Bioelectronic Medicine Summit
J Ashe, J Graf, R Madhavan, K Wallace, V Cotero, S Abate, RK Pandey, ...
PNAS 118, 1-9, 2021
Knowledge-driven training of deep models for better reconstruction and recognition
RK Pandey
IISc, 2021
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