Jyotibdha Acharya

Orcid: 0000-0002-7167-6775

According to our database1, Jyotibdha Acharya authored at least 11 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
TIRDet: Mono-Modality Thermal InfraRed Object Detection Based on Prior Thermal-To-Visible Translation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Low Precision Local Learning for Hardware-Friendly Neuromorphic Visual Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A 0.11-0.38 pJ/cycle Differential Ring Oscillator in 65 nm CMOS for Robust Neurocomputing.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

2020
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning.
IEEE Trans. Biomed. Circuits Syst., 2020

A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems.
CoRR, 2020

2019
A low-power end-to-end hybrid neuromorphic framework for surveillance applications.
CoRR, 2019

EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT using Stationary Neuromorphic Vision Sensors.
Proceedings of the 32nd IEEE International System-on-Chip Conference, 2019

Spiking Neural Network Based Region Proposal Networks for Neuromorphic Vision Sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Is my Neural Network Neuromorphic? Taxonomy, Recent Trends and Future Directions in Neuromorphic Engineering.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Low-Power, Adaptive Neuromorphic Systems: Recent Progress and Future Directions.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

2017
Feature extraction techniques for low-power ambulatory wheeze detection wearables.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017


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