Up a level |
Pandey, RK and Karmakar, S and Ramakrishnan, AG (2020) Computationally Efficient Approaches for Image Style Transfer. In: 2018 15th IEEE India Council International Conference (INDICON), 16-18 Dec. 2018, Coimbatore, India.
Pandey, RK and Ganesan, RA (2020) Deepinterpolation: Fusion of multiple interpolations and CNN to obtain superresolution. In: IET Image Processing, 14 (15). pp. 4000-4011.
Pandey, RK and Ramakrishnan, AG and Karmakar, S (2019) Effects of Modifying the Input Features and the Loss Function on Improving Emotion Classification. In: IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019, 17-20 October 2019, Hotel Grand HyattKerala; India, pp. 1159-1162.
Pandey, RK and Karmakar, S and Ramakrishnan, AG and Saha, N (2019) Improving facial emotion recognition systems with crucial feature extractors. In: 20th International Conference on Image Analysis and Processing, ICIAP 2019, 9 September 2019through 13 September 2019, Trento, pp. 268-279.
Pandey, RK and Singh, H and Ramakrishnan, AG (2019) Improvement of Image Denoising Algorithms by Preserving the Edges. In: 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, 3 - 5 September 2019, Salerno, pp. 496-506.
Pandey, RK and Ramakrishnan, AG (2019) Improving the Perceptual Quality of Document Images Using Deep Neural Network. In: 16th International Symposium on Neural Networks, ISNN 2019, 10 - 12 July 2019, Moscow, pp. 448-459.
Pandey, RK and Saha, N and Karmakar, S and Ramakrishnan, AG (2018) MSCE: An edge-preserving robust loss function for improving super-resolution algorithms. In: 25th International Conference on Neural Information Processing, ICONIP 2018, 13 - 16 December 2018, Siem Reap, pp. 566-575.
Pandey, RK and Maiya, SR and Ramakrishnan, AG (2018) A new approach for upscaling document images for improving their quality. In: 14th IEEE India Council International Conference, INDICON 2017, 15 - 17 December 2017, Roorkee.