| Radnet: Radiologist level accuracy using deep learning for hemorrhage detection in ct scans M Grewal, MM Srivastava, P Kumar, S Varadarajan 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 254 | 2018 |
| Boosted cascaded convnets for multilabel classification of thoracic diseases in chest radiographs P Kumar, M Grewal, MM Srivastava Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018 | 133 | 2018 |
| Train once, test anywhere: Zero-shot learning for text classification PK Pushp, MM Srivastava arXiv preprint arXiv:1712.05972, 2017 | 105 | 2017 |
| Detection of tooth caries in bitewing radiographs using deep learning MM Srivastava, P Kumar, L Pradhan, S Varadarajan arXiv preprint arXiv:1711.07312, 2017 | 87 | 2017 |
| Towards automated tuberculosis detection using deep learning S Kant, MM Srivastava 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1250-1253, 2018 | 63 | 2018 |
| Multi-domain document layout understanding using few-shot object detection P Singh, S Varadarajan, AN Singh, MM Srivastava Image Analysis and Recognition: 17th International Conference, ICIAR 2020 …, 2020 | 17 | 2020 |
| Bag of Tricks for Retail Product Image Classification MM Srivastava International Conference on Image Analysis and Recognition, ICIAR 2020, 71-82, 2020 | 16 | 2020 |
| Example mining for incremental learning in medical imaging P Kumar, MM Srivastava 2018 IEEE symposium series on computational intelligence (SSCI), 48-51, 2018 | 12 | 2018 |
| Content based document recommender using deep learning N Nikhil, MM Srivastava 2017 International Conference on Inventive Computing and Informatics (ICICI …, 2017 | 11 | 2017 |
| Benchmark for generic product detection: a low data baseline for dense object detection S Varadarajan, S Kant, MM Srivastava Image Analysis and Recognition: 17th International Conference, ICIAR 2020 …, 2020 | 10* | 2020 |
| Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset S Varadarajan, MM Srivastava Proceedings of the 11th Indian Conference on Computer Vision, Graphics and …, 2018 | 9 | 2018 |
| Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection N Nikhil, MM Srivastava arXiv preprint arXiv:1805.01112, 2018 | 8 | 2018 |
| Radiologist level accuracy using deep learning for hemorrhage detection in CT scans M Grewal, MM Srivastava, P Kumar, S Varadarajan arXiv preprint arXiv:1710.04934, 2017 | 8 | 2017 |
| Detection of tooth caries in bitewing radiographs using deep learning. arXiv 2017 MM Srivastava, P Kumar, L Pradhan, S Varadarajan arXiv preprint arXiv:1711.07312, 0 | 8 | |
| Prototypical metric transfer learning for continuous speech keyword spotting with limited training data H Seth, P Kumar, MM Srivastava 14th International Conference on Soft Computing Models in Industrial and …, 2020 | 7 | 2020 |
| Does BERT understand sentiment? Leveraging comparisons between contextual and non-contextual embeddings to improve aspect-based sentiment models N Reddy, P Singh, MM Srivastava arXiv preprint arXiv:2011.11673, 2020 | 6 | 2020 |
| Visual aesthetic analysis using deep neural network: model and techniques to increase accuracy without transfer learning MM Srivastava, S Kant arXiv preprint arXiv:1712.03382, 2017 | 3 | 2017 |
| Semi-supervised learning for dense object detection in retail scenes J Chauhan, S Varadarajan, MM Srivastava arXiv preprint arXiv:2107.02114, 2021 | 2 | 2021 |
| Using Contrastive Learning and Pseudolabels to Learn Representations for Retail Product Image Classification. MM Srivastava Proceedings of the 17th International Joint Conference on Computer Vision …, 2022 | 1 | 2022 |
| Machine Learning approaches to do size based reasoning on Retail Shelf objects to classify product variants MM Srivastava, P Kumar arXiv preprint arXiv:2110.03783, 2021 | 1 | 2021 |
