| Binary document image super resolution for improved readability and OCR performance RK Pandey, K Vignesh, AG Ramakrishnan arXiv preprint arXiv:1812.02475, 2018 | 25 | 2018 |
| Improving facial emotion recognition systems using gradient and laplacian images RK Pandey, S Karmakar, AG Ramakrishnan, N Saha arXiv preprint arXiv:1902.05411, 2019 | 24 | 2019 |
| Segmentation of Liver Lesions with Reduced Complexity Deep Models RK Pandey, A Vasan, AG Ramakrishnan arXiv:1805.09233, 2018 | 23 | 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 | 18 | 2018 |
| Efficient Document-Image Super-Resolution Using Convolutional Neural Network RK Pandey, AG Ramakrishnan Sadhana, 2018 | 15 | 2018 |
| Language independent single document image super-resolution using CNN for improved recognition RK Pandey, AG Ramakrishnan arXiv preprint arXiv:1701.08835, 2017 | 12 | 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 | 11 | 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 | 9 | 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 | 7 | 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 | 5 | 2019 |
| A hybrid approach of interpolations and CNN to obtain super-resolution RK Pandey, AG Ramakrishnan arXiv preprint arXiv:1805.09400, 2018 | 5 | 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 | 4 | 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 | 3 | 2023 |
| 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 | 2 | 2019 |
| Computationally efficient approaches for image style transfer RK Pandey, S Karmakar, AG Ramakrishnan 15th IEEE India Council International Conference (INDICON 2018), 2018 | 2 | 2018 |
| TrueDeep: A systematic approach of crack detection with less data R Pandey, A Achara Expert Systems with Applications 242, 122785, 2024 | 1 | 2024 |
| Revealing the Underlying Patterns: Investigating Dataset Similarity, Performance, and Generalization A Achara, RK Pandey Neurocomputing, 2024 | 1 | 2024 |
| CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity RK Pandey, A Achara Computer Vision & Image Processing, 2023 | 1 | 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 | | 2021 |
| Knowledge-driven training of deep models for better reconstruction and recognition RK Pandey IISc, 2021 | | 2021 |
A G Ramakrishnan/ Ramakrishnan An...Adj. faculty, IIT Hyd, Prin.Advisor, Bhashini AI Solns, Prof of EE & Neuroscience (Retd), I.I.Sc.Dirección de correo verificada de alum.iisc.ac.in
