Alireza Ahrabian

According to our database, Alireza Ahrabian authored at least 18 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep Learning-Based Covariance Estimation for Relative Pose Measurements.

Alireza Ahrabian, Quan Nguyen, Nikos Toulios, Anthony Ohazulike

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023

Scenario Gym: A Scenario-Centric Lightweight Simulator.

Hamish Scott, Lorenzo Niccolini, Chess Stetson, Nils Goldbeck, Ioannis Souflas, Noyan Songur, Alireza Ahrabian, Eduardo Candela, Panagiotis Angeloudis

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2021

RADIATE: A Radar Dataset for Automotive Perception in Bad Weather.

Marcel Sheeny, Emanuele De Pellegrin, Saptarshi Mukherjee, Alireza Ahrabian, Sen Wang, Andrew M. Wallace

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

RADIATE: A Radar Dataset for Automotive Perception.

Marcel Sheeny, Emanuele De Pellegrin, Saptarshi Mukherjee, Alireza Ahrabian, Sen Wang, Andrew M. Wallace

CoRR, 2020

2019

Image-Guided Depth Upsampling via Hessian and TV Priors.

Alireza Ahrabian, João F. C. Mota, Andrew M. Wallace

CoRR, 2019

Efficient Multi-Sensor Extended Target Tracking using GM-PHD Filter.

Alireza Ahrabian, Mehryar Emambakhsh, Marcel Sheeny, Andrew M. Wallace

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

Segment Parameter Labelling in MCMC Mean-Shift Change Detection.

Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Volatility Based Change Detection in Data Streams.

Alireza Ahrabian, Nazli FarajiDavar, Clive Cheong Took, Payam M. Barnaghi

CoRR, 2017

Pattern Identification for State Prediction in Dynamic Data Streams.

Shirin Enshaeifar, Seyed Amir Hoseinitabatabaei, Alireza Ahrabian, Payam M. Barnaghi

Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

Detecting changes in the variance of multi-sensory accelerometer data using MCMC.

Alireza Ahrabian, Tarek Elsaleh, Yasmin Fathy, Payam M. Barnaghi

Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017

Data analysis as a web service: A case study using IoT sensor data.

Alireza Ahrabian, Sefki Kolozali, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2015

A Class of Multivariate Denoising Algorithms Based on Synchrosqueezing.

Alireza Ahrabian, Danilo P. Mandic

IEEE Trans. Signal Process., 2015

Selective Time-Frequency Reassignment Based on Synchrosqueezing.

Alireza Ahrabian, Danilo P. Mandic

IEEE Signal Process. Lett., 2015

Synchrosqueezing-based time-frequency analysis of multivariate data.

Alireza Ahrabian, David Looney, Ljubisa Stankovic, Danilo P. Mandic

Signal Process., 2015

Nonuniformly sampled trivariate empirical mode decomposition.

Apit Hemakom, Alireza Ahrabian, David Looney, Naveed ur Rehman, Danilo P. Mandic

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Estimation of phase synchrony using the synchrosqueezing transform.

Alireza Ahrabian, Danilo P. Mandic

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Bivariate Empirical Mode Decomposition for Unbalanced Real-World Signals.

Alireza Ahrabian, Naveed ur Rehman, Danilo P. Mandic

IEEE Signal Process. Lett., 2013

2012

Algorithmic Trading Using Phase Synchronization.

Alireza Ahrabian, Clive Cheong Took, Danilo P. Mandic

IEEE J. Sel. Top. Signal Process., 2012