Nishant Jain

According to our database, Nishant Jain authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images.

Nishant Jain, Suryansh Kumar, Luc Van Gool

Int. J. Comput. Vis., April, 2024

Training-efficient density quantum machine learning.

Brian Coyle, El Amine Cherrat, Nishant Jain, Natansh Mathur, Snehal Raj, Skander Kazdaghli, Iordanis Kerenidis

CoRR, 2024

Anisotropic diffusion filter based fusion of NSST transformed medical images.

Pragya Gupta, Nishant Jain

Biomed. Signal Process. Control., 2024

Learning model uncertainty as variance-minimizing instance weights.

Nishant Jain, Karthikeyan Shanmugam, Pradeep Shenoy

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving Generalization via Meta-Learning on Hard Samples.

Nishant Jain, Arun S. Suggala, Pradeep Shenoy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Instance-Conditional Timescales of Decay for Non-Stationary Learning.

Nishant Jain, Pradeep Shenoy

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LRF: A logically randomized forest algorithm for classification and regression problems.

Nishant Jain, Prasanta K. Jana

Expert Syst. Appl., 2023

Efficiently Robustify Pre-Trained Models.

Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhanced Stable View Synthesis.

Nishant Jain, Suryansh Kumar, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Graph neural network initialisation of quantum approximate optimisation.

Nishant Jain, Brian Coyle, Elham Kashefi, Niraj Kumar

Quantum, September, 2022

<i>XRRF</i>: An eXplainable Reasonably Randomised Forest algorithm for classification and regression problems.

Nishant Jain, Prasanta K. Jana

Inf. Sci., 2022

Selective classification using a robust meta-learning approach.

Nishant Jain, Pradeep Shenoy

CoRR, 2022

Learning on non-stationary data with re-weighting.

Nishant Jain, Pradeep Shenoy

CoRR, 2022

YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset.

Donglai Wei, Siddhant Kharbanda, Sarthak Arora, Roshan Roy, Nishant Jain, Akash Palrecha, Tanav Shah, Shray Mathur, Ritik Mathur, Abhijay Kemkar, Anirudh Srinivasan Chakravarthy, Zudi Lin, Won-Dong Jang, Yansong Tang, Song Bai, James Tompkin, Philip H. S. Torr, Hanspeter Pfister

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robustifying the Multi-Scale Representation of Neural Radiance Fields.

Nishant Jain, Suryansh Kumar, Luc Van Gool

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

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

Who Influences Cancer Conversations on Twitter?: A Comparative Surveillance of Cancer Communications.

Nishant Jain, Iris Zachary, Suzanne Austin Boren

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

2020

Evaluation of Multiplier-Less DCT Transform Using In-Exact Computing.

Uppugunduru Anil Kumar, Nishant Jain, Sumit K. Chatterjee, Syed Ershad Ahmed

Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2020

2019

MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation.

Abhay Kumar, Nishant Jain, Suraj Tripathi, Chirag Singh, Kamal Krishna

CoRR, 2019

From Fully Supervised to Zero Shot Settings for Twitter Hashtag Recommendation.

Abhay Kumar, Nishant Jain, Suraj Tripathi, Chirag Singh

CoRR, 2019

Exploiting SIFT Descriptor for Rotation Invariant Convolutional Neural Network.

Abhay Kumar, Nishant Jain, Chirag Singh, Suraj Tripathi

CoRR, 2019

Bidirectional Transformer Based Multi-Task Learning for Natural Language Understanding.

Suraj Tripathi, Chirag Singh, Abhay Kumar, Chandan Kumar Pandey, Nishant Jain

Proceedings of the Natural Language Processing and Information Systems, 2019

Deceptive Reviews Detection Using Deep Learning Techniques.

Nishant Jain, Abhay Kumar, Shekhar Singh, Chirag Singh, Suraj Tripathi

Proceedings of the Natural Language Processing and Information Systems, 2019

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

Proceedings of the IEEE International Conference on Industrial Technology, 2018

Novel Framework for Performance Prediction of Small and Medium Scale Enterprises: A Machine Learning Approach.

Nishant Jain, Abhinav Tomar, Prasanta K. Jana

Proceedings of the 2018 International Conference on Advances in Computing, 2018

2017

Liver Ultrasound Image Segmentation Using Region-Difference Filters.

Nishant Jain, Vinod Kumar

J. Digit. Imaging, 2017

2016

IFCM Based Segmentation Method for Liver Ultrasound Images.

Nishant Jain, Vinod Kumar

J. Medical Syst., 2016

2013

MoSen: a middleware for mobile sensor programming.

Kshitiz Bakhshi, Nishant Jain, Pushpendra Singh, Arjun Ahuja

Proceedings of the Annual Symposium on Computing for Development, 2013