| Image sharpness measure for blurred images in frequency domain K De, V Masilamani Procedia Engineering 64, 149-158, 2013 | 126 | 2013 |
| Movie recommendation system using sentiment analysis from microblogging data S Kumar, K De, PP Roy IEEE Transactions on Computational Social Systems 7 (4), 915-923, 2020 | 63 | 2020 |
| An intelligent recommendation system using gaze and emotion detection S Jaiswal, S Virmani, V Sethi, K De, PP Roy Multimedia Tools and Applications 78 (11), 14231-14250, 2019 | 23 | 2019 |
| A new no-reference image quality measure for blurred images in spatial domain K De, V Masilamani Journal of Image and Graphics 1 (1), 39-42, 2013 | 20 | 2013 |
| Impact of colour on robustness of deep neural networks K De, M Pedersen Proceedings of the IEEE/CVF International Conference on Computer Vision, 21-30, 2021 | 13 | 2021 |
| Zero shot learning based script identification in the wild P Keserwani, K De, PP Roy, U Pal 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 7 | 2019 |
| Perceptual conditional generative adversarial networks for end-to-end image colourization SS Halder, K De, PP Roy Asian Conference on Computer Vision, 269-283, 2018 | 7 | 2018 |
| No-reference image contrast measure using image statistics and random forest K De, V Masilamani Multimedia Tools and Applications 76 (18), 18641-18656, 2017 | 6 | 2017 |
| Fast no-reference image sharpness measure for blurred images in discrete cosine transform domain K De, V Masilamani 2016 IEEE Students’ Technology Symposium (TechSym), 256-261, 2016 | 6 | 2016 |
| A no-reference image quality measure for blurred and compressed images using sparsity features K De, V Masilamani Cognitive Computation 10 (6), 980-990, 2018 | 5 | 2018 |
| No-reference image sharpness measure using discrete cosine transform statistics and multivariate adaptive regression splines for robotic applications K De, V Masilamani Procedia computer science 133, 268-275, 2018 | 5 | 2018 |
| Image quality assessment for blurred images using nonsubsampled contourlet transform features K De, V Masilamani Journal of Computers 12 (2), 156-164, 2017 | 5 | 2017 |
| No-reference image quality measure for images with multiple distortions using random forests for multi method fusion K De, V Masilamani Image Analysis & Stereology 37 (2), 105-117, 2018 | 3 | 2018 |
| Efficient extraction of consistent bit locations from binarized iris features D Sadhya, K De, B Raman, PP Roy Expert Systems with Applications 140, 112884, 2020 | 2 | 2020 |
| Caption-based region extraction in images P Agrawal, R Yadav, V Yadav, K De, P Pratim Roy Proceedings of 3rd International Conference on Computer Vision and Image …, 2020 | 2 | 2020 |
| Eai-net: Effective and accurate iris segmentation network S Rajpal, D Sadhya, K De, PP Roy, B Raman International Conference on Pattern Recognition and Machine Intelligence …, 2019 | 2 | 2019 |
| Tracking players in broadcast sports KM Sudeep, V Amarnath, AR Pamaar, K De, R Saini, PP Roy Journal of Multimedia Information System 5 (4), 257-264, 2018 | 2 | 2018 |
| Discrete orthogonal moments based framework for assessing blurriness of camera captured document images K De, V Masilamani Proceedings of the 3rd International Symposium on Big Data and Cloud …, 2016 | 2 | 2016 |
| A spatial domain object separability based no-reference image quality measure using mean and variance K De, V Masilamani International Journal of Image and Graphics 13 (02), 1340005, 2013 | 2 | 2013 |
| Effect of hue shift towards robustness of convolutional neural networks K De, M Pedersen Proc. IS&T Electronic Imaging: Color Imaging XXVII: Displaying, Processing …, 2022 | 1 | 2022 |
