Kriti Kumar

Orcid: 0000-0003-0484-7404

According to our database¹, Kriti Kumar authored at least 30 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

Multi-Modal Image Super-Resolution via Deep Convolutional Transform Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, May, 2023

A Digital Twin Approach for Estimation of Contaminants in Lubrication Oil through Photoacoustic Sensing System.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Sensing Technology, 2023

Unsupervised Domain Adaptation via Subspace Interpolating Deep Dictionary Learning: A Case Study in Machine Inspection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Label-Consistent Convolutional Dictionary Learning for Machine Inspection.

[BibT_eX]

[DOI]

Proceedings of the 31st European Signal Processing Conference, 2023

Graph Assisted Unsupervised Domain Adaptation for Machine Fault Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 31st European Signal Processing Conference, 2023

Transform Based Subspace Interpolation for Unsupervised Domain Adaptation Applied to Machine Inspection.

[BibT_eX]

[DOI]

Proceedings of the 31st European Signal Processing Conference, 2023

2022

CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Phaseless FMCW Multistatic Radar.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems.

[BibT_eX]

[DOI]

Kriti Kumar

Angshul Majumdar

M. Girish Chandra

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Multi-modal Image Super-resolution with Joint Coupled Deep Transform Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

Phaseless Passive Synthetic Aperture Imaging with Regularized Wirtinger Flow.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

2021

AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Multi-Sensor Fusion Framework using Discriminative Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Deep Transform Learning for Multi-Sensor Fusion.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

Transform Learning Assisted Graph Signal Processing for Low Rate Electrical Load Disaggregation.

[BibT_eX]

[DOI]

Kriti Kumar

M. Girish Chandra

Proceedings of the 28th European Signal Processing Conference, 2020

Cognitive Fatigue Detection from EEG Signals using Topological Signal Processing.

[BibT_eX]

[DOI]

Ramesh Kumar Ramakrishnan

M. Girish Chandra

Arpan Pal

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Transform Learning Based Function Approximation for Regression and Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019

Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2019

Enterprise System Response Time Prediction Using Non-stationary Function Approximations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2019

On Using Graph Signal Processing for Electrical Load Disaggregation.

[BibT_eX]

[DOI]

Subbareddy Batreddy

Kriti Kumar

M. Girish Chandra

Proceedings of the 26th International Conference on High Performance Computing, 2019

Low Sampling Rate Electrical Load Disaggregation Using Dictionary Representation and Graph Signal Smoothness.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018

Structural Health Monitoring of Multi-Rotor Micro Aerial Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, 2018

Tool Wear Prediction using Function Approximation Driven by Signal Processing.

[BibT_eX]

[DOI]

Proceedings of the IECON 2018, 2018

Regressing Kernel Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sampling and Reconstruction of Band-limited Graph Signals using Graph Syndromes.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

Graph Structured Dictionary for Regression.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

2014

An Improved Tracking using IMU and Vision Fusion for Mobile Augmented Reality Applications.

[BibT_eX]

[DOI]

CoRR, 2014

MobiCoStream: Real-time collaborative video upstream for Mobile Augmented Reality applications.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Advanced Networks and Telecommuncations Systems, 2014

Kriti Kumar

Timeline

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