MobiCoStream: Real-time collaborative video upstream for Mobile Augmented Reality applications. - N. Narendra; Pavan K. Reddy; Kriti Kumar; Ashley Varghese; Prashanth Swamy; M. Girish Chandra; P. Balamuralidhar (IEEE ANTS, 2014)

An Improved Tracking using IMU and Vision Fusion for Mobile Augmented Reality Applications. - Kriti Kumar; Ashley Varghese; Pavan K. Reddy; N. Narendra; Prashanth Swamy; M. Girish Chandra; P. Balamuralidhar (CoRR, 2014)

Graph Structured Dictionary for Regression. - Kriti Kumar; M. Girish Chandra; Aakanksha Bapna; Achanna Anil Kumar (EUSIPCO, 2018)

Sampling and Reconstruction of Band-limited Graph Signals using Graph Syndromes. - Achanna Anil Kumar; N. Narendra; M. Girish Chandra; Kriti Kumar (EUSIPCO, 2018)

Regressing Kernel Dictionary Learning. - Kriti Kumar; Angshul Majumdar; M. Girish Chandra; Achanna Anil Kumar (ICASSP, 2018)

Tool Wear Prediction using Function Approximation Driven by Signal Processing. - Kriti Kumar; Aakanksha Bapna; M. Girish Chandra; Naveen Kumar Thokala (IECON, 2018)

Structural Health Monitoring of Multi-Rotor Micro Aerial Vehicles. - Prasant Misra; Gopi Kandaswamy; Pragyan Mohapatra; Kriti Kumar; P. Balamuralidhar (DroNet@MobiSys, 2018)

Low Sampling Rate Electrical Load Disaggregation Using Dictionary Representation and Graph Signal Smoothness. - Kriti Kumar; M. Girish Chandra; Achanna Anil Kumar; Naveen Kumar Thokala (e-Energy, 2019)

On Using Graph Signal Processing for Electrical Load Disaggregation. - Subbareddy Batreddy; Kriti Kumar; M. Girish Chandra (HiPC Workshops, 2019)

Enterprise System Response Time Prediction Using Non-stationary Function Approximations. - Karumanchi Ravikumar; Kriti Kumar; Naveen Kumar Thokala; M. Girish Chandra (IWANN (1), 2019)

Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection. - Naveen Kumar Thokala; Kriti Kumar; M. Girish Chandra; Karumanchi Ravikumar (IWANN (1), 2019)

Transform Learning Based Function Approximation for Regression and Forecasting. - Kriti Kumar; Angshul Majumdar; M. Girish Chandra; Achanna Anil Kumar (AALTD@PKDD/ECML, 2019)

Cognitive Fatigue Detection from EEG Signals using Topological Signal Processing. - Arup Kumar Das; Kriti Kumar; Rahul D. Gavas; Dibyanshu Jaiswal; Debatri Chatterjee; Ramesh Kumar Ramakrishnan; M. Girish Chandra; Arpan Pal 001 (EUSIPCO, 2020)

Transform Learning Assisted Graph Signal Processing for Low Rate Electrical Load Disaggregation. - Kriti Kumar; M. Girish Chandra (EUSIPCO, 2020)

Deep Transform Learning for Multi-Sensor Fusion. - Saurabh Sahu; Kriti Kumar; Angshul Majumdar; M. Girish Chandra (EUSIPCO, 2020)

Multi-Sensor Fusion Framework using Discriminative Autoencoders. - Arup Kumar Das; Kriti Kumar; Angshul Majumdar; Saurabh Sahu; M. Girish Chandra (EUSIPCO, 2021)

Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution. - Andrew Gigie; Achanna Anil Kumar; Angshul Majumdar; Kriti Kumar; M. Girish Chandra (ICASSP, 2021)

AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. - Kriti Kumar; Saurabh Sahu; Angshul Majumdar; M. Girish Chandra (IJCNN, 2021)

Phaseless Passive Synthetic Aperture Imaging with Regularized Wirtinger Flow. - K. Aditi; Achanna Anil Kumar; Angshul Majumdar; Tapas Chakravarty; Kriti Kumar (EUSIPCO, 2022)

Multi-modal Image Super-resolution with Joint Coupled Deep Transform Learning. - R. Krishna Kanth; Andrew Gigie; Kriti Kumar; Achanna Anil Kumar; Angshul Majumdar; Balamuralidhar P (EUSIPCO, 2022)

DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. - Kriti Kumar; Angshul Majumdar; M. Girish Chandra (ICDM (Workshops), 2022)

Phaseless FMCW Multistatic Radar. - K. Aditi; Achanna Anil Kumar; Angshul Majumdar; R. Krishna Kanth; Tapas Chakravarty; Kriti Kumar; Arpan Pal 001 (IEEE SENSORS, 2022)

CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis. - Naibedya Pattnaik; Uday Sai Vemula; Kriti Kumar; Achanna Anil Kumar; Angshul Majumdar; M. Girish Chandra; Arpan Pal 001 (SenSys, 2022)

Transform Based Subspace Interpolation for Unsupervised Domain Adaptation Applied to Machine Inspection. - Kriti Kumar; Angshul Majumdar; Achanna Anil Kumar; M. Girish Chandra (EUSIPCO, 2023)

Graph Assisted Unsupervised Domain Adaptation for Machine Fault Diagnosis. - Naibedya Pattnaik; Kriti Kumar; Achanna Anil Kumar; M. Girish Chandra (EUSIPCO, 2023)

Label-Consistent Convolutional Dictionary Learning for Machine Inspection. - Saurabh Sahu; Kriti Kumar; Angshul Majumdar; Achanna Anil Kumar; M. Girish Chandra (EUSIPCO, 2023)

Unsupervised Domain Adaptation via Subspace Interpolating Deep Dictionary Learning: A Case Study in Machine Inspection. - Kriti Kumar; Angshul Majumdar; Achanna Anil Kumar; M. Girish Chandra (ICASSP, 2023)

A Digital Twin Approach for Estimation of Contaminants in Lubrication Oil through Photoacoustic Sensing System. - Subhasri Chatterjee; Naibedya Pattnaik; Abhijeet Gorey; Kriti Kumar; Supriya Gain; Arijit Sinharay; Tapas Chakravarty; Arpan Pal 001 (ICST, 2023)

Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. - Stuti Jain; Emilie Chouzenoux; Kriti Kumar; Angshul Majumdar (IEEE J. Biomed. Health Informatics, 2023)

Multi-Modal Image Super-Resolution via Deep Convolutional Transform Learning. - Kriti Kumar; Angshul Majumdar; Achanna Anil Kumar; M. Girish Chandra (EUSIPCO, 2024)

A Comparison of the Cerebras Wafer-Scale Integration Technology with Nvidia GPU-based Systems for Artificial Intelligence. - Yudhishthira Kundu; Manroop Kaur; Tripty Wig; Kriti Kumar; Pushpanjali Kumari; Vivek Puri; Manish Arora (CoRR, 2025)