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 (CVPR Workshops, 2020)

Efficient Neural Vision Systems Based on Convolutional Image Acquisition. - Pedram Pad; Simon Narduzzi; Clément Kündig; Engin Türetken; Siavash Arjomand Bigdeli; L. Andrea Dunbar (CVPR, 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 (ISMICT, 2020)

Efficient Blind-Spot Neural Network Architecture for Image Denoising. - David Honzátko; Siavash Arjomand Bigdeli; Engin Türetken; L. Andrea Dunbar (SDS, 2020)

Image Restoration using Plug-and-Play CNN MAP Denoisers. - Siavash Arjomand Bigdeli; David Honzátko; Sabine Süsstrunk; L. Andrea Dunbar (VISIGRAPP (4: VISAPP), 2020)

Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo. - David Honzátko; Engin Türetken; Pascal Fua; L. Andrea Dunbar (3DV, 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)

Privacy-Preserving Image Acquisition Using Trainable Optical Kernel. - Yamin Sepehri; Pedram Pad; Pascal Frossard; L. Andrea Dunbar (CoRR, 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)

Optimizing The Consumption Of Spiking Neural Networks With Activity Regularization. - Simon Narduzzi; Siavash Arjomand Bigdeli; Shih-Chii Liu; L. Andrea Dunbar (ICASSP, 2022)

Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform. - Simon Narduzzi; Engin Türetken; Jean-Philippe Thiran; L. Andrea Dunbar (SDS, 2022)

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 (WF-IoT, 2023)

Privacy-Preserving Image Acquisition for Neural Vision Systems. - Yamin Sepehri; Pedram Pad; Clément Kündig; Pascal Frossard; L. Andrea Dunbar (IEEE Trans. Multim., 2023)

Constrained Zero-Shot Neural Architecture Search on Small Classification Dataset. - Rémy Vuagniaux; Simon Narduzzi; Nadim Maamari; L. Andrea Dunbar (SDS, 2024)

PriPHiT: Privacy-Preserving Hierarchical Training of Deep Neural Networks. - Yamin Sepehri; Pedram Pad; Pascal Frossard; L. Andrea Dunbar (CoRR, 2024)

Learning Generative Models Using Denoising Density Estimators. - Siavash Arjomand Bigdeli; Geng Lin; L. Andrea Dunbar; Tiziano Portenier; Matthias Zwicker (IEEE Trans. Neural Networks Learn. Syst., 2024)

Steerable Zero-Shot Neural Architecture Search for Efficient Edge Inference. - Simon Narduzzi; Rémy Vuagniaux; Kishan Sharma; Shih-Chii Liu; L. Andrea Dunbar (ISCAS, 2025)

Hierarchical Training of Deep Neural Networks Using Early Exiting. - Yamin Sepehri; Pedram Pad; Ahmet Caner Yüzügüler; Pascal Frossard; L. Andrea Dunbar (IEEE Trans. Neural Networks Learn. Syst., 2025)

SAND: One-Shot Feature Selection with Additive Noise Distortion. - Pedram Pad; Hadi Hammoud; Mohamad Dia; Nadim Maamari; L. Andrea Dunbar (CoRR, 2025)