| 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 | 350 | 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 | 298 | 2019 |
| Essentials for class incremental learning S Mittal, S Galesso, T Brox Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 76 | 2021 |
| Parting with illusions about deep active learning S Mittal, M Tatarchenko, Ö Çiçek, T Brox arXiv preprint arXiv:1912.05361, 2019 | 42 | 2019 |
| 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 | 31 | 2016 |
| 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 | 13 | 2015 |
| Localized vision-language matching for open-vocabulary object detection MA Bravo, S Mittal, T Brox DAGM German Conference on Pattern Recognition, 393-408, 2022 | 11 | 2022 |
| Open-vocabulary attribute detection MA Bravo, S Mittal, S Ging, T Brox Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
| Thirty-First AAAI Conference on Artificial Intelligence S Tripathi, S Acharya, RD Sharma, S Mittal, S Bhattacharya AAAI Press, 2017 | 5 | 2017 |
| Revisiting Deep Active Learning for Semantic Segmentation S Mittal, J Niemeijer, JP Schäfer, T Brox arXiv preprint arXiv:2302.04075, 2023 | 3 | 2023 |
| Best practices in active learning for semantic segmentation S Mittal, J Niemeijer, JP Schäfer, T Brox German Conference on Pattern Recognition (GCPR), 2023 | 1 | 2023 |
| Semi-supervised Learning for Real-world Object Recognition using Adversarial Autoencoders S Mittal | 1 | 2017 |
| Synthetic Dataset Acquisition for a Specific Target Domain J Niemeijer, S Mittal, T Brox Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| Towards efficient deep learning for computer vision S Mittal Dissertation, Universität Freiburg, 2023, 0 | | |
| Open-vocabulary Attribute Detection Supplementary MA Bravo, S Mittal, S Ging, T Brox | | |
| Supplementary: Essentials for Class Incremental Learning S Mittal, S Galesso, T Brox | | |
Ashish AnandProfessor of Computer Science, IIT Guwahati, IndiaVerified email at iitg.ac.in
