L. Andrea Dunbar

According to our database, L. Andrea Dunbar authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

PriPHiT: Privacy-Preserving Hierarchical Training of Deep Neural Networks.

Yamin Sepehri, Pedram Pad, Pascal Frossard, L. Andrea Dunbar

CoRR, 2024

Constrained Zero-Shot Neural Architecture Search on Small Classification Dataset.

Rémy Vuagniaux, Simon Narduzzi, Nadim Maamari, L. Andrea Dunbar

Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

2023

Privacy-Preserving Image Acquisition for Neural Vision Systems.

Yamin Sepehri, Pedram Pad, Clément Kündig, Pascal Frossard, L. Andrea Dunbar

IEEE Trans. Multim., 2023

Hierarchical Training of Deep Neural Networks Using Early Exiting.

Yamin Sepehri, Pedram Pad, Ahmet Caner Yüzügüler, Pascal Frossard, L. Andrea Dunbar

CoRR, 2023

Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MINIROCKET on Resource-Constrained Devices.

Marco Giordano, Silvano Cortesi, Michele Crabolu, Lavinia Pedrollo, Giovanni Bellusci, Tommaso Bendinelli, Engin Türetken, L. Andrea Dunbar, Michele Magno

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

2022

Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform.

Simon Narduzzi, Engin Türetken, Jean-Philippe Thiran, L. Andrea Dunbar

Proceedings of the 9th Swiss Conference on Data Science, 2022

Optimizing The Consumption Of Spiking Neural Networks With Activity Regularization.

Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Defect segmentation for multi-illumination quality control systems.

David Honzátko, Engin Türetken, Siavash Arjomand Bigdeli, L. Andrea Dunbar, Pascal Fua

Mach. Vis. Appl., 2021

Privacy-Preserving Image Acquisition Using Trainable Optical Kernel.

Yamin Sepehri, Pedram Pad, Pascal Frossard, L. Andrea Dunbar

CoRR, 2021

Wavelet Variance Maximization: A contactless respiration rate estimation method based on remote photoplethysmography.

Duncan Luguern, Richard Macwan, Yannick Benezeth, Virginie Moser, L. Andrea Dunbar, Fabian Braun, Alia Lemkaddem, Julien Dubois

Biomed. Signal Process. Control., 2021

Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo.

David Honzátko, Engin Türetken, Pascal Fua, L. Andrea Dunbar

Proceedings of the International Conference on 3D Vision, 2021

2020

Learning Generative Models using Denoising Density Estimators.

Siavash Arjomand Bigdeli, Geng Lin, Tiziano Portenier, L. Andrea Dunbar, Matthias Zwicker

CoRR, 2020

Image Restoration using Plug-and-Play CNN MAP Denoisers.

Siavash Arjomand Bigdeli, David Honzátko, Sabine Süsstrunk, L. Andrea Dunbar

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Efficient Blind-Spot Neural Network Architecture for Image Denoising.

David Honzátko, Siavash Arjomand Bigdeli, Engin Türetken, L. Andrea Dunbar

Proceedings of the 7th Swiss Conference on Data Science, 2020

Remote photoplethysmography combining color channels with SNR maximization for respiratory rate assessment.

Duncan Luguern, Yannick Benezeth, Virginie Moser, L. Andrea Dunbar, Fabian Braun, Alia Lemkaddem, Keisuke Nakamura, Randy Gomez, Julien Dubois

Proceedings of the 14th International Symposium on Medical Information Communication Technology, 2020

Efficient Neural Vision Systems Based on Convolutional Image Acquisition.

Pedram Pad, Simon Narduzzi, Clément Kündig, Engin Türetken, Siavash Arjomand Bigdeli, L. Andrea Dunbar

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An Assessment of Algorithms to Estimate Respiratory Rate from the Remote Photoplethysmogram.

Duncan Luguern, Simon Perche, Yannick Benezeth, Virginie Moser, L. Andrea Dunbar, Fabian Braun, Alia Lemkaddem, Keisuke Nakamura, Randy Gomez, Julien Dubois

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020