Unai Elordi

发表

How Can Deep Neural Networks Be Generated Efficiently for Devices with Limited Resources?

Oihana Otaegui, Ignacio Arganda-Carreras, Unai Elordi, 2018, AMDO.

Building a Camera-based Smart Sensing System for Digitalized On-demand Aircraft Cabin Readiness Verification

Oihana Otaegui, Jorge Garcia, Unai Elordi, 2020, ROBOVIS.

Virtual Reality Interfaces Applied to Web-Based 3D E-Commerce

Álvaro Segura, Aitor Moreno, Jon Arambarri, 2012 .

A temporally consistent grid-based visual odometry framework for multi-core architectures

Oihana Otaegui, Unai Elordi, Marcos Nieto, 2014, Journal of Real-Time Image Processing.

Benchmarking Deep Neural Network Inference Performance on Serverless Environments With MLPerf

Oihana Otaegui, Ignacio Arganda-Carreras, Unai Elordi, 2021, IEEE Software.

Optimal deployment of face recognition solutions in a heterogeneous IoT platform for secure elderly care applications

Ignacio Arganda-Carreras, Alvaro Bertelsen, Unai Elordi, 2021, KES.

On-demand Serverless Video Surveillance with Optimal Deployment of Deep Neural Networks

Oihana Otaegui, Ignacio Arganda-Carreras, Unai Elordi, 2021, VISIGRAPP.

Efficient Multi-task based Facial Landmark and Gesture Detection in Monocular Images

Fadi Dornaika, Oihana Otaegui, Unai Elordi, 2021, VISIGRAPP.

Building Synthetic Simulated Environments for Configuring and Training Multi-camera Systems for Surveillance Applications

Oihana Otaegui, Unai Elordi, Luis Unzueta, 2021, VISIGRAPP.