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Kriti Kumar
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2020 – today
- 2024
- [c28]Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Multi-Modal Image Super-Resolution via Deep Convolutional Transform Learning. EUSIPCO 2024: 671-675 - 2023
- [j1]Stuti Jain, Emilie Chouzenoux
, Kriti Kumar
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. IEEE J. Biomed. Health Informatics 27(5): 2565-2574 (2023) - [c27]Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Transform Based Subspace Interpolation for Unsupervised Domain Adaptation Applied to Machine Inspection. EUSIPCO 2023: 1708-1712 - [c26]Naibedya Pattnaik, Kriti Kumar, Achanna Anil Kumar, M. Girish Chandra:
Graph Assisted Unsupervised Domain Adaptation for Machine Fault Diagnosis. EUSIPCO 2023: 1733-1737 - [c25]Saurabh Sahu, Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Label-Consistent Convolutional Dictionary Learning for Machine Inspection. EUSIPCO 2023: 1883-1887 - [c24]Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Unsupervised Domain Adaptation via Subspace Interpolating Deep Dictionary Learning: A Case Study in Machine Inspection. ICASSP 2023: 1-5 - [c23]Subhasri Chatterjee, Naibedya Pattnaik, Abhijeet Gorey, Kriti Kumar, Supriya Gain, Arijit Sinharay, Tapas Chakravarty, Arpan Pal:
A Digital Twin Approach for Estimation of Contaminants in Lubrication Oil through Photoacoustic Sensing System. ICST 2023: 1-6 - 2022
- [c22]R. Krishna Kanth, Andrew Gigie, Kriti Kumar, Achanna Anil Kumar, Angshul Majumdar, Balamuralidhar P:
Multi-modal Image Super-resolution with Joint Coupled Deep Transform Learning. EUSIPCO 2022: 474-478 - [c21]K. Aditi, Achanna Anil Kumar, Angshul Majumdar, Tapas Chakravarty, Kriti Kumar:
Phaseless Passive Synthetic Aperture Imaging with Regularized Wirtinger Flow. EUSIPCO 2022: 1926-1930 - [c20]Kriti Kumar, Angshul Majumdar, M. Girish Chandra:
DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. ICDM (Workshops) 2022: 171-179 - [c19]K. Aditi, Achanna Anil Kumar, Angshul Majumdar, R. Krishna Kanth, Tapas Chakravarty, Kriti Kumar, Arpan Pal:
Phaseless FMCW Multistatic Radar. IEEE SENSORS 2022: 1-4 - [c18]Naibedya Pattnaik, Uday Sai Vemula, Kriti Kumar, Achanna Anil Kumar, Angshul Majumdar, M. Girish Chandra, Arpan Pal:
CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis. SenSys 2022: 973-979 - [i2]Stuti Jain, Emilie Chouzenoux, Kriti Kumar, Angshul Majumdar:
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. CoRR abs/2210.10784 (2022) - 2021
- [c17]Arup Kumar Das, Kriti Kumar, Angshul Majumdar, Saurabh Sahu, M. Girish Chandra:
Multi-Sensor Fusion Framework using Discriminative Autoencoders. EUSIPCO 2021: 1351-1355 - [c16]Andrew Gigie, Achanna Anil Kumar, Angshul Majumdar, Kriti Kumar, M. Girish Chandra:
Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution. ICASSP 2021: 1640-1644 - [c15]Kriti Kumar, Saurabh Sahu, Angshul Majumdar, M. Girish Chandra:
AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. IJCNN 2021: 1-7 - 2020
- [c14]Arup Kumar Das, Kriti Kumar, Rahul D. Gavas, Dibyanshu Jaiswal
Cognitive Fatigue Detection from EEG Signals using Topological Signal Processing. EUSIPCO 2020: 1313-1317 - [c13]Kriti Kumar, M. Girish Chandra:
Transform Learning Assisted Graph Signal Processing for Low Rate Electrical Load Disaggregation. EUSIPCO 2020: 1673-1677 - [c12]Saurabh Sahu, Kriti Kumar, Angshul Majumdar, M. Girish Chandra:
Deep Transform Learning for Multi-Sensor Fusion. EUSIPCO 2020: 1996-2000
2010 – 2019
- 2019
- [c11]Kriti Kumar, M. Girish Chandra, Achanna Anil Kumar, Naveen Kumar Thokala:
Low Sampling Rate Electrical Load Disaggregation Using Dictionary Representation and Graph Signal Smoothness. e-Energy 2019: 47-51 - [c10]Subbareddy Batreddy, Kriti Kumar, M. Girish Chandra:
On Using Graph Signal Processing for Electrical Load Disaggregation. HiPC Workshops 2019: 2-7 - [c9]Karumanchi Ravikumar, Kriti Kumar, Naveen Kumar Thokala, M. Girish Chandra:
Enterprise System Response Time Prediction Using Non-stationary Function Approximations. IWANN (1) 2019: 74-87 - [c8]Naveen Kumar Thokala, Kriti Kumar, M. Girish Chandra, Karumanchi Ravikumar:
Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection. IWANN (1) 2019: 186-197 - [c7]Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar:
Transform Learning Based Function Approximation for Regression and Forecasting. AALTD@PKDD/ECML 2019: 14-25 - 2018
- [c6]Achanna Anil Kumar, N. Narendra, M. Girish Chandra, Kriti Kumar:
Sampling and Reconstruction of Band-limited Graph Signals using Graph Syndromes. EUSIPCO 2018: 892-896 - [c5]Kriti Kumar, M. Girish Chandra, Aakanksha Bapna, Achanna Anil Kumar:
Graph Structured Dictionary for Regression. EUSIPCO 2018: 1072-1076 - [c4]Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar:
Regressing Kernel Dictionary Learning. ICASSP 2018: 2756-2760 - [c3]Kriti Kumar, Aakanksha Bapna, M. Girish Chandra, Naveen Kumar Thokala:
Tool Wear Prediction using Function Approximation Driven by Signal Processing. IECON 2018: 2742-2747 - [c2]Prasant Misra, Gopi Kandaswamy, Pragyan Mohapatra, Kriti Kumar, P. Balamuralidhar:
Structural Health Monitoring of Multi-Rotor Micro Aerial Vehicles. DroNet@MobiSys 2018: 21-26 - 2014
- [c1]N. Narendra, Pavan K. Reddy, Kriti Kumar, Ashley Varghese, Prashanth Swamy, M. Girish Chandra, P. Balamuralidhar:
MobiCoStream: Real-time collaborative video upstream for Mobile Augmented Reality applications. IEEE ANTS 2014: 1-6 - [i1]Kriti Kumar, Ashley Varghese, Pavan K. Reddy, N. Narendra, Prashanth Swamy, M. Girish Chandra, P. Balamuralidhar:
An Improved Tracking using IMU and Vision Fusion for Mobile Augmented Reality Applications. CoRR abs/1411.2335 (2014)
Coauthor Index
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last updated on 2024-12-05 20:44 CET by the dblp team
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