MoSen: a middleware for mobile sensor programming. - Kshitiz Bakhshi; Nishant Jain; Pushpendra Singh 001; Arjun Ahuja (ACM DEV (3), 2013)

IFCM Based Segmentation Method for Liver Ultrasound Images. - Nishant Jain; Vinod Kumar 002 (J. Medical Syst., 2016)

Liver Ultrasound Image Segmentation Using Region-Difference Filters. - Nishant Jain; Vinod Kumar 002 (J. Digit. Imaging, 2017)

Novel Framework for Performance Prediction of Small and Medium Scale Enterprises: A Machine Learning Approach. - Nishant Jain; Abhinav Tomar; Prasanta K. Jana (ICACCI, 2018)

Extending battery life of smartphones by overcoming idle power consumption using ambient light energy harvesting. - Nishant Jain; Xiaozhe Fan; Walter Daniel Leon-Salas; Anne M. Lucietto (ICIT, 2018)

Deceptive Reviews Detection Using Deep Learning Techniques. - Nishant Jain; Abhay Kumar 001; Shekhar Singh; Chirag Singh; Suraj Tripathi (NLDB, 2019)

Bidirectional Transformer Based Multi-Task Learning for Natural Language Understanding. - Suraj Tripathi; Chirag Singh; Abhay Kumar 001; Chandan Kumar Pandey; Nishant Jain (NLDB, 2019)

Exploiting SIFT Descriptor for Rotation Invariant Convolutional Neural Network. - Abhay Kumar 001; Nishant Jain; Chirag Singh; Suraj Tripathi (CoRR, 2019)

From Fully Supervised to Zero Shot Settings for Twitter Hashtag Recommendation. - Abhay Kumar 001; Nishant Jain; Suraj Tripathi; Chirag Singh (CoRR, 2019)

MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation. - Abhay Kumar 001; Nishant Jain; Suraj Tripathi; Chirag Singh; Kamal Krishna (CoRR, 2019)

Evaluation of Multiplier-Less DCT Transform Using In-Exact Computing. - Uppugunduru Anil Kumar; Nishant Jain; Sumit K. Chatterjee; Syed Ershad Ahmed (MIND (2), 2020)

Who Influences Cancer Conversations on Twitter?: A Comparative Surveillance of Cancer Communications. - Nishant Jain; Iris Zachary; Suzanne Austin Boren (MedInfo, 2021)

A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning. - Nishant Jain; Abhinav Tomar; Prasanta K. Jana (J. Intell. Inf. Syst., 2021)

Robustifying the Multi-Scale Representation of Neural Radiance Fields. - Nishant Jain; Suryansh Kumar 001; Luc Van Gool (BMVC, 2022)

YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset. - Donglai Wei 001; Siddhant Kharbanda; Sarthak Arora; Roshan Roy; Nishant Jain; Akash Palrecha; Tanav Shah; Shray Mathur; Ritik Mathur; Abhijay Kemkar; Anirudh Srinivasan Chakravarthy; Zudi Lin; et al. (CVPR, 2022)

Learning on non-stationary data with re-weighting. - Nishant Jain; Pradeep Shenoy (CoRR, 2022)

Selective classification using a robust meta-learning approach. - Nishant Jain; Pradeep Shenoy (CoRR, 2022)

XRRF: An eXplainable Reasonably Randomised Forest algorithm for classification and regression problems. - Nishant Jain; Prasanta K. Jana (Inf. Sci., 2022)

Graph neural network initialisation of quantum approximate optimisation. - Nishant Jain; Brian Coyle; Elham Kashefi; Niraj Kumar 005 (Quantum, 2022)

Enhanced Stable View Synthesis. - Nishant Jain; Suryansh Kumar 001; Luc Van Gool (CVPR, 2023)

Efficiently Robustify Pre-Trained Models. - Nishant Jain; Harkirat S. Behl; Yogesh Singh Rawat; Vibhav Vineet (ICCV, 2023)

LRF: A logically randomized forest algorithm for classification and regression problems. - Nishant Jain; Prasanta K. Jana (Expert Syst. Appl., 2023)

Instance-Conditional Timescales of Decay for Non-Stationary Learning. - Nishant Jain; Pradeep Shenoy (AAAI, 2024)

Segmentation of CT images for efficient fusion with MR images. - Pragya Gupta; Nishant Jain (CVMI, 2024)

Improving Generalization via Meta-Learning on Hard Samples. - Nishant Jain; Arun S. Suggala; Pradeep Shenoy (CVPR, 2024)

Estimation of Abnormal Crowd Density Using Transfer Learning Techniques. - Amit Roy; Nishant Jain; Vikas Baghel (ICCCNT, 2024)

Learning model uncertainty as variance-minimizing instance weights. - Nishant Jain; Karthikeyan Shanmugam; Pradeep Shenoy (ICLR, 2024)

Anisotropic diffusion filter based fusion of NSST transformed medical images. - Pragya Gupta; Nishant Jain (Biomed. Signal Process. Control., 2024)

Training-efficient density quantum machine learning. - Brian Coyle; El Amine Cherrat; Nishant Jain; Natansh Mathur; Snehal Raj; Skander Kazdaghli; Iordanis Kerenidis (CoRR, 2024)

Learning Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images. - Nishant Jain; Suryansh Kumar 001; Luc Van Gool (Int. J. Comput. Vis., 2024)

Deep learning-based ovarian cyst classification and abnormality detection using convolutional neural networks. - Munish Sood; Emjee Puthooran; Nishant Jain (Neural Comput. Appl., 2025)

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection. - Natansh Mathur; Brian Coyle; Nishant Jain; Snehal Raj; Akshat Tandon; Jasper Simon Krauser; Rainer Stoessel (CoRR, 2025)

Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees. - Nishant Jain; Xunpeng Huang; Yian Ma; Tong Zhang 001 (CoRR, 2025)

AI Telephone Surveying: Automating Quantitative Data Collection with an AI Interviewer. - Danny D. Leybzon; Shreyas Tirumala; Nishant Jain; Summer Gillen; Michael Jackson; Cameron McPhee; Jennifer Schmidt (CoRR, 2025)