Avik Santra
Orcid: 0000-0002-8156-3387
According to our database1,
Avik Santra
authored at least 37 papers
between 2015 and 2024.
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Bibliography
2024
Low Power Gesture Sensing System Based on Target Range Using Spiking Neural Networks for Portable Devices.
Proceedings of the IEEE Radio and Wireless Symposium, 2024
2023
Power-efficient gesture sensing for edge devices: mimicking fourier transforms with spiking neural networks.
Appl. Intell., June, 2023
Out-of-Distribution Detection for Radar-based Gesture Recognition Using Metric-Learning.
Proceedings of the IEEE Radio and Wireless Symposium, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach.
Proceedings of the 31st European Signal Processing Conference, 2023
2022
Cognitive Architectures, Processing and Learning Algorithms for Intelligent Radar Solutions (Kognitive Architekturen, Verarbeitungsund Lernalgorithmen für Intelligente Radar-Lösungen)
PhD thesis, 2022
XAI-Increment: A Novel Approach Leveraging LIME Explanations for Improved Incremental Learning.
CoRR, 2022
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Contactless Low Power Air-Writing Based on FMCW Radar Networks Using Spiking Neural Networks.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Highly-Optimized Radar-Based Gesture Recognition System with Depthwise Expansion Module.
Sensors, 2021
A Bayesian Framework for Integrated Deep Metric Learning and Tracking of Vulnerable Road Users Using Automotive Radars.
IEEE Access, 2021
Analysis of Edge-Optimized Deep Learning Classifiers for Radar-Based Gesture Recognition.
IEEE Access, 2021
Bayesradar : Bayesian Metric-Kalman Filter Learning for Improved and Reliable Radar Target Classification.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
People Counting Solution Using an FMCW Radar with Knowledge Distillation From Camera Data.
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021
Improved Deep Representation Learning for Human Activity Recognition using IMU Sensors.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Integrated Classification and Localization of Targets Using Bayesian Framework In Automotive Radars.
Proceedings of the IEEE International Conference on Acoustics, 2021
Improved Target Detection and Feature Extraction using a Complex-Valued Adaptive Sine Filter on Radar Time Domain Data.
Proceedings of the 29th European Signal Processing Conference, 2021
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021
2020
Ambiguity function and imaging performance of coded FMCW waveforms with fast 4D receiver processing in MIMO radar.
Digit. Signal Process., 2020
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19.
CoRR, 2020
Space-Time Waveform Coding for Joint Radar and Wireless Communications (RadCom) Applications.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020
Human Activity Classification Using mm-Wave FMCW Radar by Improved Representation Learning.
Proceedings of the mmNets@MobiCom 2020: Proceedings of the 4th ACM Workshop on Millimeter-Wave Networks and Sensing Systems, 2020
Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
2019
IEEE Access, 2019
Radar-Based Human Target Detection using Deep Residual U-Net for Smart Home Applications.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Radar-Based Non-intrusive Fall Motion Recognition using Deformable Convolutional Neural Network.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Radar Gesture Recognition System in Presence of Interference using Self-Attention Neural Network.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
2017
A Novel Subspace Based Method for Compensation of Multiple CFOs in Uplink MIMO OFDM Systems.
IEEE Commun. Lett., 2017
2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Ambiguity functions, processing gains, and Cramer-Rao bounds for matched illumination radar signals.
IEEE Trans. Aerosp. Electron. Syst., 2015