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ORCIDMuktabh Mayank Srivastava
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2020 – today
- 2024
[c13]Muktabh Mayank Srivastava:
RetailKLIP: Finetuning OpenCLIP Backbone Using Metric Learning on a Single GPU for Zero-Shot Retail Product Image Classification. VISIGRAPP (3): VISAPP 2024: 830-834- 2023
- [i25]Muktabh Mayank Srivastava:
RetailKLIP : Finetuning OpenCLIP backbone using metric learning on a single GPU for Zero-shot retail product image classification. CoRR abs/2312.10282 (2023) - 2022
- [c12]Harshita Seth, Sonaal Kant, Muktabh Mayank Srivastava:
Using Keypoint Matching and Interactive Self Attention Network to Verify Retail POSMs. IMPROVE 2022: 195-201 - [c11]Muktabh Mayank Srivastava:
Using Contrastive Learning and Pseudolabels to Learn Representations for Retail Product Image Classification. VISIGRAPP (5: VISAPP) 2022: 659-663 - 2021
- [i24]Jaydeep Chauhan, Srikrishna Varadarajan, Muktabh Mayank Srivastava:
Semi-supervised Learning for Dense Object Detection in Retail Scenes. CoRR abs/2107.02114 (2021) - [i23]Natesh Reddy, Muktabh Mayank Srivastava:
Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets. CoRR abs/2110.02200 (2021) - [i22]Muktabh Mayank Srivastava:
Using Contrastive Learning and Pseudolabels to learn representations for Retail Product Image Classification. CoRR abs/2110.03639 (2021) - [i21]Harshita Seth, Sonaal Kant, Muktabh Mayank Srivastava:
Using Keypoint Matching and Interactive Self Attention Network to verify Retail POSMs. CoRR abs/2110.03646 (2021) - [i20]Muktabh Mayank Srivastava, Pratyush Kumar:
Machine Learning approaches to do size based reasoning on Retail Shelf objects to classify product variants. CoRR abs/2110.03783 (2021) - 2020
- [c10]Srikrishna Varadarajan, Sonaal Kant, Muktabh Mayank Srivastava:
Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection. ICIAR (1) 2020: 30-41 - [c9]Muktabh Mayank Srivastava:
Bag of Tricks for Retail Product Image Classification. ICIAR (1) 2020: 71-82 - [c8]Pranaydeep Singh, Srikrishna Varadarajan, Ankit Narayan Singh, Muktabh Mayank Srivastava:
Multi-domain Document Layout Understanding Using Few-Shot Object Detection. ICIAR (2) 2020: 89-99 - [i19]Muktabh Mayank Srivastava:
Bag of Tricks for Retail Product Image Classification. CoRR abs/2001.03992 (2020) - [i18]Pratyush Kumar, Muktabh Mayank Srivastava:
Compact retail shelf segmentation for mobile deployment. CoRR abs/2004.13094 (2020) - [i17]Natesh Reddy, Pranaydeep Singh, Muktabh Mayank Srivastava:
Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models. CoRR abs/2011.11673 (2020)
2010 – 2019
- 2019
- [c7]Harshita Seth, Pulkit Kumar, Muktabh Mayank Srivastava:
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting with Limited Training Data. SOCO 2019: 273-280 - [i16]Harshita Seth, Pulkit Kumar, Muktabh Mayank Srivastava:
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data. CoRR abs/1901.03860 (2019) - [i15]Srikrishna Varadarajan, Sonaal Kant, Muktabh Mayank Srivastava:
Benchmark for Generic Product Detection: A strong baseline for Dense Object Detection. CoRR abs/1912.09476 (2019) - 2018
- [c6]Pulkit Kumar, Monika Grewal
, Muktabh Mayank Srivastava:
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs. ICIAR 2018: 546-552 - [c5]Srikrishna Varadarajan, Muktabh Mayank Srivastava:
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset. ICVGIP 2018: 14:1-14:7 - [c4]Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan:
RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans. ISBI 2018: 281-284 - [c3]Nishant Nikhil, Muktabh Mayank Srivastava:
Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection. SemEval@NAACL-HLT 2018: 628-632 - [c2]Pratyush Kumar, Muktabh Mayank Srivastava:
Example Mining for Incremental Learning in Medical Imaging. SSCI 2018: 48-51 - [c1]Sonaal Kant, Muktabh Mayank Srivastava:
Towards Automated Tuberculosis detection using Deep Learning. SSCI 2018: 1250-1253 - [i14]Sonaal Kant, Muktabh Mayank Srivastava:
Towards Automated Tuberculosis detection using Deep Learning. CoRR abs/1801.07080 (2018) - [i13]Srikrishna Varadarajan, Muktabh Mayank Srivastava:
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset. CoRR abs/1803.06813 (2018) - [i12]Nishant Nikhil, Muktabh Mayank Srivastava:
Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection. CoRR abs/1805.01112 (2018) - [i11]Pratyush Kumar, Muktabh Mayank Srivastava:
Example Mining for Incremental Learning in Medical Imaging. CoRR abs/1807.08942 (2018) - [i10]Pranaydeep Singh, Srikrishna Varadarajan, Ankit Narayan Singh, Muktabh Mayank Srivastava:
Multidomain Document Layout Understanding using Few Shot Object Detection. CoRR abs/1808.07330 (2018) - [i9]Muktabh Mayank Srivastava:
Supervised Mover's Distance: A simple model for sentence comparison. PeerJ Prepr. 6: e26847 (2018) - 2017
- [i8]Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan:
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans. CoRR abs/1710.04934 (2017) - [i7]Richa Sharma, Muktabh Mayank Srivastava:
Testing the limits of unsupervised learning for semantic similarity. CoRR abs/1710.08246 (2017) - [i6]Nishant Nikhil, Muktabh Mayank Srivastava:
Content Based Document Recommender using Deep Learning. CoRR abs/1710.08321 (2017) - [i5]Srikrishna Varadarajan, Muktabh Mayank Srivastava, Monika Grewal, Pulkit Kumar:
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks. CoRR abs/1710.09180 (2017) - [i4]Muktabh Mayank Srivastava, Pratyush Kumar, Lalit Pradhan, Srikrishna Varadarajan:
Detection of Tooth caries in Bitewing Radiographs using Deep Learning. CoRR abs/1711.07312 (2017) - [i3]Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava:
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs. CoRR abs/1711.08760 (2017) - [i2]Muktabh Mayank Srivastava, Sonaal Kant:
Visual aesthetic analysis using deep neural network: model and techniques to increase accuracy without transfer learning. CoRR abs/1712.03382 (2017) - [i1]Pushpankar Kumar Pushp, Muktabh Mayank Srivastava:
Train Once, Test Anywhere: Zero-Shot Learning for Text Classification. CoRR abs/1712.05972 (2017)
Coauthor Index
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