Muktabh Mayank Srivastava
Muktabh Mayank Srivastava
ParallelDots, Inc.
Verified email at paralleldots.com
Title
Cited by
Cited by
Year
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
1192018
Boosted cascaded convnets for multilabel classification of thoracic diseases in chest radiographs
P Kumar, M Grewal, MM Srivastava
International Conference Image Analysis and Recognition, 546-552, 2018
662018
Train once, test anywhere: Zero-shot learning for text classification
PK Pushp, MM Srivastava
arXiv preprint arXiv:1712.05972, 2017
372017
Detection of tooth caries in bitewing radiographs using deep learning
MM Srivastava, P Kumar, L Pradhan, S Varadarajan
arXiv preprint arXiv:1711.07312, 2017
302017
Towards automated tuberculosis detection using deep learning
S Kant, MM Srivastava
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1250-1253, 2018
182018
Content based document recommender using deep learning
N Nikhil, MM Srivastava
2017 International Conference on Inventive Computing and Informatics (ICICI …, 2017
72017
Benchmark for generic product detection: a low data baseline for dense object detection
S Varadarajan, S Kant, MM Srivastava
International Conference on Image Analysis and Recognition, 30-41, 2020
6*2020
Multi-domain Document Layout Understanding Using Few-Shot Object Detection
P Singh, S Varadarajan, AN Singh, MM Srivastava
International Conference on Image Analysis and Recognition, 89-99, 2020
62020
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
62018
Bag of Tricks for Retail Product Image Classification
MM Srivastava
International Conference on Image Analysis and Recognition, ICIAR 2020, 71-82, 2020
42020
Prototypical metric transfer learning for continuous speech keyword spotting with limited training data
H Seth, P Kumar, MM Srivastava
International Workshop on Soft Computing Models in Industrial and …, 2019
42019
Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection
N Nikhil, MM Srivastava
arXiv preprint arXiv:1805.01112, 2018
42018
Example mining for incremental learning in medical imaging
P Kumar, MM Srivastava
2018 IEEE symposium series on computational intelligence (SSCI), 48-51, 2018
32018
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
12017
Testing the limits of unsupervised learning for semantic similarity
R Sharma, MM Srivastava
arXiv preprint arXiv:1710.08246, 2017
12017
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
2021
Using Contrastive Learning and Pseudolabels to learn representations for Retail Product Image Classification
MM Srivastava
arXiv preprint arXiv:2110.03639, 2021
2021
Using Keypoint Matching and Interactive Self Attention Network to verify Retail POSMs
H Seth, S Kant, MM Srivastava
arXiv preprint arXiv:2110.03646, 2021
2021
Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets
N Reddy, MM Srivastava
arXiv preprint arXiv:2110.02200, 2021
2021
Semi-supervised Learning for Dense Object Detection in Retail Scenes
J Chauhan, S Varadarajan, MM Srivastava
arXiv preprint arXiv:2107.02114, 2021
2021
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