| Ntire 2020 challenge on nonhomogeneous dehazing CO Ancuti, C Ancuti, FA Vasluianu, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 112 | 2020 |
| NTIRE 2022 challenge on perceptual image quality assessment J Gu, H Cai, C Dong, JS Ren, R Timofte, Y Gong, S Lao, S Shi, J Wang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 93 | 2022 |
| Fast deep multi-patch hierarchical network for nonhomogeneous image dehazing SD Das, S Dutta Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 73 | 2020 |
| A heuristic-driven ensemble framework for COVID-19 fake news detection SD Das, A Basak, S Dutta Combating Online Hostile Posts in Regional Languages during Emergency …, 2021 | 49 | 2021 |
| A heuristic-driven uncertainty based ensemble framework for fake news detection in tweets and news articles SD Das, A Basak, S Dutta Neurocomputing 491, 607-620, 2022 | 47 | 2022 |
| AIM 2020: Scene relighting and illumination estimation challenge M El Helou, R Zhou, S Süsstrunk, R Timofte, M Afifi, MS Brown, K Xu, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 46 | 2020 |
| Aim 2020 challenge on rendering realistic bokeh A Ignatov, R Timofte, M Qian, C Qiao, J Lin, Z Guo, C Li, C Leng, J Cheng, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 43 | 2020 |
| Bird species classification using transfer learning with multistage training SD Das, A Kumar arXiv preprint arXiv:1810.04250, 2018 | 38* | 2018 |
| Aim 2019 challenge on image demoireing: Methods and results S Yuan, R Timofte, G Slabaugh, A Leonardis, B Zheng, X Ye, X Tian, ... 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019 | 33 | 2019 |
| Stacked deep multi-scale hierarchical network for fast bokeh effect rendering from a single image S Dutta, SD Das, NA Shah, AK Tiwari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 29 | 2021 |
| Language identification of Bengali-English code-mixed data using character & phonetic based LSTM models SD Das, S Mandal, D Das Proceedings of the 11th Annual Meeting of the Forum for Information …, 2019 | 27 | 2019 |
| Influence of calcium depletion on iron-binding properties of milk VA Mittal, A Ellis, A Ye, S Das, H Singh Journal of dairy science 98 (4), 2103-2113, 2015 | 26 | 2015 |
| Iron binding to caseins in the presence of orthophosphate VA Mittal, A Ellis, A Ye, PJB Edwards, S Das, H Singh Food Chemistry 190, 128-134, 2016 | 19 | 2016 |
| Arsenic: a global monster S Das, AR Chowdhury Science and Culture 72 (7/8), 230, 2006 | 16 | 2006 |
| Studying variability in human brain aging in a population-based German cohortrationale and design of 1000BRAINS. Front Aging Neurosci 6: 149 S Caspers, S Moebus, S Lux, N Pundt, H Schütz, TW Mühleisen, V Gras, ... doi. org/10.3389/fnagi 9, 2014 | 14 | 2014 |
| Spectrophotometric and spectrofluorometric titrations of teichoic acid. MK Pal, JK Ghosh, S Das Indian Journal of Biochemistry & Biophysics 26 (5), 311-314, 1989 | 9 | 1989 |
| Dsrn: an efficient deep network for image relighting SD Das, NA Shah, S Dutta, H Kumar 2021 IEEE International Conference on Image Processing (ICIP), 2788-2792, 2021 | 8 | 2021 |
| Unsupervised Identification of Relevant Cases & Statutes Using Word Embeddings. S Mandal, SD Das FIRE (Working Notes), 31-35, 2019 | 8 | 2019 |
| A study on the effect of vitamin A deficiency and supplementation on tumorigenesis in mice. J Ghosh, S Das Neoplasma 35 (1), 41-49, 1988 | 8 | 1988 |
| Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding S Dipta Das, S Dutta, NA Shah, D Mahapatra, Z Ge arXiv e-prints, arXiv: 2201.11506, 2022 | 7* | 2022 |
