Muktabh Mayank Srivastava

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 38

Top Topics

Unsupervised Learning

Image Classification

Object Detection

Top Venues

Publications

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)
Muktabh Mayank Srivastava
RetailKLIP : Finetuning OpenCLIP backbone using metric learning on a single GPU for Zero-shot retail product image classification. CoRR (2023)
Harshita Seth, Sonaal Kant, Muktabh Mayank Srivastava
Using Keypoint Matching and Interactive Self Attention Network to Verify Retail POSMs. IMPROVE (2022)
Muktabh Mayank Srivastava
Using Contrastive Learning and Pseudolabels to Learn Representations for Retail Product Image Classification. VISIGRAPP (5: VISAPP) (2022)
Natesh Reddy, Muktabh Mayank Srivastava
Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets. CoRR (2021)
Harshita Seth, Sonaal Kant, Muktabh Mayank Srivastava
Using Keypoint Matching and Interactive Self Attention Network to verify Retail POSMs. CoRR (2021)
Muktabh Mayank Srivastava
Using Contrastive Learning and Pseudolabels to learn representations for Retail Product Image Classification. CoRR (2021)
Jaydeep Chauhan, Srikrishna Varadarajan, Muktabh Mayank Srivastava
Semi-supervised Learning for Dense Object Detection in Retail Scenes. CoRR (2021)
Muktabh Mayank Srivastava, Pratyush Kumar
Machine Learning approaches to do size based reasoning on Retail Shelf objects to classify product variants. CoRR (2021)
Srikrishna Varadarajan, Sonaal Kant, Muktabh Mayank Srivastava
Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection. ICIAR (1) (2020)
Muktabh Mayank Srivastava
Bag of Tricks for Retail Product Image Classification. CoRR (2020)
Pranaydeep Singh, Srikrishna Varadarajan, Ankit Narayan Singh, Muktabh Mayank Srivastava
Multi-domain Document Layout Understanding Using Few-Shot Object Detection. ICIAR (2) (2020)
Pratyush Kumar, Muktabh Mayank Srivastava
Compact retail shelf segmentation for mobile deployment. CoRR (2020)
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 (2020)
Muktabh Mayank Srivastava
Bag of Tricks for Retail Product Image Classification. ICIAR (1) (2020)
Harshita Seth, Pulkit Kumar, Muktabh Mayank Srivastava
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting with Limited Training Data. SOCO (2019)
Srikrishna Varadarajan, Sonaal Kant, Muktabh Mayank Srivastava
Benchmark for Generic Product Detection: A strong baseline for Dense Object Detection. CoRR (2019)
Harshita Seth, Pulkit Kumar, Muktabh Mayank Srivastava
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data. CoRR (2019)
Srikrishna Varadarajan, Muktabh Mayank Srivastava
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset. CoRR (2018)
Nishant Nikhil, Muktabh Mayank Srivastava
Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection. CoRR (2018)
Sonaal Kant, Muktabh Mayank Srivastava
Towards Automated Tuberculosis detection using Deep Learning. SSCI (2018)
Pranaydeep Singh, Srikrishna Varadarajan, Ankit Narayan Singh, Muktabh Mayank Srivastava
Multidomain Document Layout Understanding using Few Shot Object Detection. CoRR (2018)
Pratyush Kumar, Muktabh Mayank Srivastava
Example Mining for Incremental Learning in Medical Imaging. CoRR (2018)
Sonaal Kant, Muktabh Mayank Srivastava
Towards Automated Tuberculosis detection using Deep Learning. CoRR (2018)
Srikrishna Varadarajan, Muktabh Mayank Srivastava
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset. ICVGIP (2018)
Nishant Nikhil, Muktabh Mayank Srivastava
Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection. SemEval@NAACL-HLT (2018)
Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs. ICIAR (2018)
Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan
RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans. ISBI (2018)
Pratyush Kumar, Muktabh Mayank Srivastava
Example Mining for Incremental Learning in Medical Imaging. SSCI (2018)
Muktabh Mayank Srivastava
Supervised Mover's Distance: A simple model for sentence comparison. PeerJ Prepr. 6 (2018)
Srikrishna Varadarajan, Muktabh Mayank Srivastava, Monika Grewal, Pulkit Kumar
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks. CoRR (2017)
Nishant Nikhil, Muktabh Mayank Srivastava
Content Based Document Recommender using Deep Learning. CoRR (2017)
Muktabh Mayank Srivastava, Pratyush Kumar, Lalit Pradhan, Srikrishna Varadarajan
Detection of Tooth caries in Bitewing Radiographs using Deep Learning. CoRR (2017)
Pushpankar Kumar Pushp, Muktabh Mayank Srivastava
Train Once, Test Anywhere: Zero-Shot Learning for Text Classification. CoRR (2017)
Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans. CoRR (2017)
Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs. CoRR (2017)
Richa Sharma, Muktabh Mayank Srivastava
Testing the limits of unsupervised learning for semantic similarity. CoRR (2017)
Muktabh Mayank Srivastava, Sonaal Kant
Visual aesthetic analysis using deep neural network: model and techniques to increase accuracy without transfer learning. CoRR (2017)