Parallel implementation of DNA sequences matching algorithms using PWM on GPU architecture. - Rahul Sharma 002; Nitin Gupta 005; Vipin Narang; Ankush Mittal (Int. J. Bioinform. Res. Appl., 2011)

Hierarchy of visual features for object recognition. - Nitin Gupta 005; Sukhendu Das; Sutanu Chakraborti (ICIP, 2014)

Revealing What to Extract from Where, for Object-Centric Content Based Image Retrieval (CBIR). - Nitin Gupta 005; Sukhendu Das; Sutanu Chakraborti (ICVGIP, 2014)

Extracting information from a query image, for content based image retrieval. - Nitin Gupta 005; Sukhendu Das; Sutanu Chakraborti (ICAPR, 2015)

Cognitive Inspired WOR Framework to Reveal Image Semantics, for Efficient Content Based Image Retrieval. - Nitin Gupta 005; Sukhendu Das; Gyanesh Dwivedi (PerMIn, 2015)

DANIEL: A Deep Architecture for Automatic Analysis and Retrieval of Building Floor Plans. - Divya Sharma; Nitin Gupta 005; Chiranjoy Chattopadhyay; Sameep Mehta (ICDAR, 2017)

Deep Attribute Driven Image Similarity Learning Using Limited Data. - Nitin Gupta 005; Ankush Gupta; Vikas Joshi; L. Venkata Subramaniam; Sameep Mehta (ISM, 2017)

Coherent Visual Description of Textual Instructions. - Shashank Mujumdar; Nitin Gupta 005; Abhinav Jain 001; Sameep Mehta (ISM, 2017)

Creation and Interaction with Large-scale Domain-Specific Knowledge Bases. - Shreyas Bharadwaj; Laura Chiticariu; Marina Danilevsky; Samarth Dhingra; Samved Divekar; Arnaldo Carreno-Fuentes; Himanshu Gupta; Nitin Gupta 005; Sang-Don Han; Mauricio A. Hernández; Howard Ho; Parag Jain; et al. (Proc. VLDB Endow., 2017)

Semantic Understanding for Contextual In-Video Advertising. - Rishi Madhok; Shashank Mujumdar; Nitin Gupta 005; Sameep Mehta (AAAI, 2018)

Content Driven Enrichment of Formal Text using Concept Definitions and Applications. - Abhinav Jain 001; Nitin Gupta 005; Shashank Mujumdar; Sameep Mehta; Rishi Madhok (HT, 2018)

Pentuplet Loss for Simultaneous Shots and Critical Points Detection in a Video. - Nitin Gupta 005; Abhinav Jain 001; Prerna Agarwal; Shashank Mujumdar; Sameep Mehta (ICPR, 2018)

Learning an Order Preserving Image Similarity through Deep Ranking. - Nitin Gupta 005; Shashank Mujumdar; Suranjana Samanta; Sameep Mehta (ICPR, 2018)

REXplore: A Sketch Based Interactive Explorer for Real Estates Using Building Floor Plan Images. - Divya Sharma; Nitin Gupta 005; Chiranjoy Chattopadhyay; Sameep Mehta (ISM, 2018)

Learning Convolutional Neural Networks with Deep Part Embeddings. - Nitin Gupta 005; Shashank Mujumdar; Prerna Agarwal; Abhinav Jain 001; Sameep Mehta (ICASSP, 2019)

Radial Loss for Learning Fine-grained Video Similarity Metric. - Abhinav Jain 001; Prerna Agarwal; Shashank Mujumdar; Nitin Gupta 005; Sameep Mehta; Chiranjoy Chattopadhyay (ICASSP, 2019)

Simultaneous Optimisation of Image Quality Improvement and Text Content Extraction from Scanned Documents. - Shashank Mujumdar; Nitin Gupta 005; Abhinav Jain 001; Douglas Burdick (ICDAR, 2019)

A novel feature transform framework using deep neural network for multimodal floor plan retrieval. - Divya Sharma; Nitin Gupta 005; Chiranjoy Chattopadhyay; Sameep Mehta (Int. J. Document Anal. Recognit., 2019)

Budgeted Batch Mode Active Learning with Generalized Cost and Utility Functions. - Arvind Agarwal; Shashank Mujumdar; Nitin Gupta 005; Sameep Mehta (ICPR, 2020)

Overview and Importance of Data Quality for Machine Learning Tasks. - Abhinav Jain 001; Hima Patel; Lokesh Nagalapatti; Nitin Gupta 005; Sameep Mehta; Shanmukha C. Guttula; Shashank Mujumdar; Shazia Afzal; Ruhi Sharma Mittal; Vitobha Munigala (KDD, 2020)

Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data. - Smit Marvaniya; Umamaheswari Devi; Jagabondhu Hazra; Shashank Mujumdar; Nitin Gupta 005 (CoRR, 2020)

Data Quality for Machine Learning Tasks. - Nitin Gupta 005; Shashank Mujumdar; Hima Patel; Satoshi Masuda; Naveen Panwar; Sambaran Bandyopadhyay; Sameep Mehta; Shanmukha C. Guttula; Shazia Afzal; Ruhi Sharma Mittal; Vitobha Munigala (KDD, 2021)

2nd International Workshop on Data Quality Assessment for Machine Learning. - Hima Patel; Fuyuki Ishikawa; Laure Berti-Équille; Nitin Gupta 005; Sameep Mehta; Satoshi Masuda; Shashank Mujumdar; Shazia Afzal; Srikanta Bedathur; Yasuharu Nishi (KDD, 2021)

Data-Debugging Through Interactive Visual Explanations. - Shazia Afzal; Arunima Chaudhary; Nitin Gupta 005; Hima Patel; Carolina Spina; Dakuo Wang (PAKDD (Workshops), 2021)

1st International Workshop on Data Assessment and Readiness for AI. - Bortik Bandyopadhyay; Sambaran Bandyopadhyay; Srikanta Bedathur; Nitin Gupta 005; Sameep Mehta; Shashank Mujumdar; Srinivasan Parthasarathy 001; Hima Patel (PAKDD (Workshops), 2021)

Comparison of Outlier Detection Techniques for Structured Data. - Amulya Agarwal; Nitin Gupta 005 (CoRR, 2021)

Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. - Nitin Gupta 005; Hima Patel; Shazia Afzal; Naveen Panwar; Ruhi Sharma Mittal; Shanmukha C. Guttula; Abhinav Jain 001; Lokesh Nagalapatti; Sameep Mehta; Sandeep Hans; Pranay Lohia; Aniya Aggarwal; et al. (CoRR, 2021)

Automatic Assessment of Quality of your Data for AI. - Hima Patel; Nitin Gupta 005; Naveen Panwar; Ruhi Sharma Mittal; Sameep Mehta; Shanmukha C. Guttula; Shashank Mujumdar; Shazia Afzal; Srikanta Bedathur; Vitobha Munigala (COMAD/CODS, 2022)

Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems. - Nischal Ashok Kumar; Nitin Gupta 005; Shanmukha C. Guttula; Hima Patel (CoRR, 2023)

A Data-centric AI Framework for Automating Exploratory Data Analysis and Data Quality Tasks. - Hima Patel; Shanmukha C. Guttula; Nitin Gupta 005; Sandeep Hans; Ruhi Sharma Mittal; Lokesh Nagalapatti (ACM J. Data Inf. Qual., 2023)

GraphQL Query Generation: A Large Training and Benchmarking Dataset. - Manish Kesarwani; Sambit Ghosh; Nitin Gupta 005; Shramona Chakraborty; Renuka Sindhgatta; Sameep Mehta; Carlos Eberhardt; Dan Debrunner (EMNLP (Industry Track), 2024)

LLM-powered GraphQL Generator for Data Retrieval. - Balaji Ganesan; Sambit Ghosh; Nitin Gupta 005; Manish Kesarwani; Sameep Mehta; Renuka Sindhgatta (IJCAI, 2024)

RAC-GAN: Iterative Dual-Objective Over and Under Sampling for Imbalanced Datasets. - Nitin Gupta 005; Shashank Mujumdar; Ruhi Sharma Mittal; Hima Patel (ICASSP, 2025)

Schema and Natural Language Aware In-Context Learning for Improved GraphQL Query Generation. - Nitin Gupta 005; Manish Kesarwani; Sambit Ghosh; Sameep Mehta; Carlos Eberhardt; Dan Debrunner (NAACL (Industry Track), 2025)