| Using deep and convolutional neural networks for accurate emotion classification on DEAP data S Tripathi, S Acharya, R Sharma, S Mittal, S Bhattacharya Proceedings of the AAAI Conference on Artificial Intelligence 31 (2), 4746-4752, 2017 | 302 | 2017 |
| Semi-supervised semantic segmentation with high-and low-level consistency S Mittal, M Tatarchenko, T Brox IEEE transactions on pattern analysis and machine intelligence 43 (4), 1369-1379, 2019 | 219 | 2019 |
| Essentials for class incremental learning S Mittal, S Galesso, T Brox Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 41 | 2021 |
| Predicting online doctor ratings from user reviews using convolutional neural networks RD Sharma, S Tripathi, SK Sahu, S Mittal, A Anand International Journal of Machine Learning and Computing 6 (2), 149, 2016 | 26 | 2016 |
| Parting with illusions about deep active learning S Mittal, M Tatarchenko, Ö Çiçek, T Brox arXiv preprint arXiv:1912.05361, 2019 | 22 | 2019 |
| Using modern neural networks to predict the decisions of supreme court of the united states with state-of-the-art accuracy RD Sharma, S Mittal, S Tripathi, S Acharya Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015 | 8 | 2015 |
| Localized Vision-Language Matching for Open-vocabulary Object Detection MA Bravo, S Mittal, T Brox Pattern Recognition: 44th DAGM German Conference, DAGM GCPR 2022, Konstanz …, 2022 | 2 | 2022 |
| Open-vocabulary Attribute Detection MA Bravo, S Mittal, S Ging, T Brox arXiv preprint arXiv:2211.12914, 2022 | 1 | 2022 |
| Semi-supervised Learning for Real-world Object Recognition using Adversarial Autoencoders S Mittal | 1 | 2017 |
| Supplementary: Essentials for Class Incremental Learning S Mittal, S Galesso, T Brox | | |
Ranti Dev SharmaDepartment of Computer Science, University of California, San DiegoVerified email at iitg.ernet.in
