Delia Velasco-Montero

Carmen Lozano-Pons

Giulia Bastianelli

Ecol. Informatics, 2026

Demo: Field Calibration of Smart Camera Trap Based on Augmented Reality and Few-shot CNN Retraining.

[BibT_eX]

[DOI]

Proceedings of the 24th Annual International Conference on Mobile Systems, 2026

2024

Reliable and efficient integration of AI into camera traps for smart wildlife monitoring based on continual learning.

[BibT_eX]

[DOI]

Ariadna Sanglas

Francisco Palomares

Ecol. Informatics, 2024

2023

A Pipelining-Based Heterogeneous Scheduling and Energy-Throughput Optimization Scheme for CNNs Leveraging Apache TVM.

[BibT_eX]

[DOI]

Bart Goossens

Wilfried Philips

IEEE Access, 2023

2020

PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device.

[BibT_eX]

[DOI]

Théo Benoit-Cattin

CoRR, 2020

2019

On the Correlation of CNN Performance and Hardware Metrics for Visual Inference on a Low-Cost CPU-based Platform.

[BibT_eX]

[DOI]

Jorge Femández-Bemi

Proceedings of the International Conference on Systems, Signals and Image Processing, 2019

CNN Performance Prediction on a CPU-based Edge Platform.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Distributed Smart Cameras, 2019

2018

Optimum Selection of DNN Model and Framework for Edge Inference.

[BibT_eX]

[DOI]

IEEE Access, 2018

On-The-Fly Deployment of Deep Neural Networks on Heterogeneous Hardware in a Low-Cost Smart Camera.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Distributed Smart Cameras, 2018

Optimum Network/Framework Selection from High-Level Specifications in Embedded Deep Learning Vision Applications.

[BibT_eX]

[DOI]