Benjamin Yen

Orcid: 0000-0002-6958-7319

Affiliations:
  • Tokyo Institute of Technology, Japan
  • University of Auckland, Acoustics Research Centre, New Zealand (PhD 2022)


According to our database1, Benjamin Yen authored at least 10 papers between 2018 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
From Blurry to Brilliant Detection: YOLOv5-Based Aerial Object Detection with Super Resolution.
CoRR, 2024

Real Time Sound Source Localization Using von-Mises ResNet.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2024

UAV-Enhanced Combination to Application: Comprehensive Analysis and Benchmarking of a Human Detection Dataset for Disaster Scenarios.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

A Video Vision Transformer for Sound Source Localization.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Rotor Noise-Aware Noise Covariance Matrix Estimation for Unmanned Aerial Vehicle Audition.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

2022
Design of a low-cost passive acoustic monitoring system for animal localisation from calls.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2020
Noise power spectral density scaled SNR response estimation with restricted range search for sound source localisation using unmanned aerial vehicles.
EURASIP J. Audio Speech Music. Process., 2020

Source enhancement for unmanned aerial vehicle recording using multi-sensory information.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2018
Improving Power Spectral Density Estimation of Unmanned Aerial Vehicle Rotor Noise by Learning from Non-Acoustic Information.
Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Estimating Power Spectral Density of Unmanned Aerial Vehicle Rotor Noise Using Multisensory Information.
Proceedings of the 26th European Signal Processing Conference, 2018


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