Arindam Dutta

Orcid: 0000-0003-3909-7519

According to our database1, Arindam Dutta authored at least 32 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
POISE: Pose Guided Human Silhouette Extraction under Occlusions.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Controlled secure direct quantum communication inspired scheme for quantum identity authentication.
Quantum Inf. Process., 2023

TEMP3D: Temporally Continuous 3D Human Pose Estimation Under Occlusions.
CoRR, 2023

Active Learning Guided Federated Online Adaptation: Applications in Medical Image Segmentation.
CoRR, 2023

Learning Deformable 3D Graph Similarity to Track Plant Cells in Unregistered Time Lapse Images.
CoRR, 2023

Prior-guided Source-free Domain Adaptation for Human Pose Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Single Shot Musical Instrument Identification using Scalograms.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

Per-Antenna Power Constrained Cooperative Beamforming in Distributed Relay Networks.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Hardware Implementation of RF Spectral Convergence System on DASH SoC.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
A short review on quantum identity authentication protocols: how would Bob know that he is talking with Alice?
Quantum Inf. Process., 2022

CNN based musical instrument identification using time-frequency localized features.
Internet Technol. Lett., 2022

New protocols for quantum key distribution with explicit upper and lower bound on secret-key rate.
CoRR, 2022


The DASH SoC: Enabling the Next Generation of Multi-Function RF Systems.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Revisiting the accuracy problem in network analysis using a unique dataset.
Soc. Networks, 2021

Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion.
Sensors, 2021

3D CNN to Estimate Reaction Time from Multi-Channel EEG.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Anticipating Postoperative Delirium During Burst Suppression Using Electroencephalography.
IEEE Trans. Biomed. Eng., 2020

Deep Neural Network for Visual Stimulus-Based Reaction Time Estimation Using the Periodogram of Single-Trial EEG.
Sensors, 2020

A Generalized Model to Estimate Reaction Time Corresponding to Visual Stimulus Using Single-Trial EEG.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
CNN based noise classification and denoising of images.
Dataset, December, 2019

Convolutional Neural Networks for Noise Classification and Denoising of Images.
Proceedings of the TENCON 2019, 2019

Fault Classification in Three Phase Self-Excited Induction Generators using Deep Neural Networks.
Proceedings of the TENCON 2019, 2019

Active Breathing Suppression for Improved Sleep Monitoring Heartbeat Detection Using UWB Radar.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Identifying Free-Living Physical Activities Using Lab-Based Models with Wearable Accelerometers.
Sensors, 2018

Latency Analysis for Matched Filter Based Detection of Weak Signals.
Proceedings of the 2018 IEEE Military Communications Conference, 2018

2017
Predicting postoperative delirium in patients undergoing deep hypothermia circulatory arrest.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Comparing Gaussian Mixture Model and Hidden Markov Model to Classify Unique Physical Activities from Accelerometer Sensor Data.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Learning approach for classification of GENEActiv accelerometer data for unique activity identification.
Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016

Decoding human intent using a wearable system and multi-modal sensor data.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2014
Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2010
Advertising strategies for new product diffusion in emerging markets: Propositions and analysis.
Eur. J. Oper. Res., 2010


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