Unai Elordi

Orcid: 0000-0002-6276-0123

According to our database1, Unai Elordi authored at least 12 papers between 2015 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Multi-Task Explainable Quality Networks for Large-Scale Forensic Facial Recognition.
IEEE J. Sel. Top. Signal Process., May, 2023

Leveraging Synthetic Data for DNN-Based Visual Analysis of Passenger Seats.
SN Comput. Sci., 2023

Optimizing Video Analytics Deployment for In-Flight Cabin Readiness Verification.
IEEE Access, 2023

2021
Benchmarking Deep Neural Network Inference Performance on Serverless Environments With MLPerf.
IEEE Softw., 2021

Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms.
Inf., 2021

Efficient Multi-task based Facial Landmark and Gesture Detection in Monocular Images.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

On-demand Serverless Video Surveillance with Optimal Deployment of Deep Neural Networks.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Building Synthetic Simulated Environments for Configuring and Training Multi-camera Systems for Surveillance Applications.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Optimal deployment of face recognition solutions in a heterogeneous IoT platform for secure elderly care applications.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2020
Building a Camera-based Smart Sensing System for Digitalized On-demand Aircraft Cabin Readiness Verification.
Proceedings of the International Conference on Robotics, 2020

2018
How Can Deep Neural Networks Be Generated Efficiently for Devices with Limited Resources?
Proceedings of the Articulated Motion and Deformable Objects, 2018

2015
A temporally consistent grid-based visual odometry framework for multi-core architectures.
J. Real Time Image Process., 2015


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