L. Andrea Dunbar

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 20

Top Topics

Photometric Stereo

Top Venues

Biomed. Signal Process. Control.

Publications

Yamin Sepehri, Pedram Pad, Clément Kündig, Pascal Frossard, L. Andrea Dunbar
Privacy-Preserving Image Acquisition for Neural Vision Systems. IEEE Trans. Multim. 25 (2023)
Yamin Sepehri, Pedram Pad, Ahmet Caner Yüzügüler, Pascal Frossard, L. Andrea Dunbar
Hierarchical Training of Deep Neural Networks Using Early Exiting. CoRR (2023)
Marco Giordano, Silvano Cortesi, Michele Crabolu, Lavinia Pedrollo, Giovanni Bellusci, Tommaso Bendinelli, Engin Türetken, L. Andrea Dunbar, Michele Magno
Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MINIROCKET on Resource-Constrained Devices. WF-IoT (2023)
Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar
Optimizing the Consumption of Spiking Neural Networks with Activity Regularization. CoRR (2022)
Simon Narduzzi, Engin Türetken, Jean-Philippe Thiran, L. Andrea Dunbar
Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform. SDS (2022)
Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar
Optimizing The Consumption Of Spiking Neural Networks With Activity Regularization. ICASSP (2022)
Simon Narduzzi, Engin Türetken, Jean-Philippe Thiran, L. Andrea Dunbar
Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform. CoRR (2022)
Yamin Sepehri, Pedram Pad, Pascal Frossard, L. Andrea Dunbar
Privacy-Preserving Image Acquisition Using Trainable Optical Kernel. CoRR (2021)
David Honzátko, Engin Türetken, Siavash Arjomand Bigdeli, L. Andrea Dunbar, Pascal Fua
Defect segmentation for multi-illumination quality control systems. Mach. Vis. Appl. 32 (6) (2021)
David Honzátko, Engin Türetken, Pascal Fua, L. Andrea Dunbar
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo. 3DV (2021)
Duncan Luguern, Richard Macwan, Yannick Benezeth, Virginie Moser, L. Andrea Dunbar, Fabian Braun, Alia Lemkaddem, Julien Dubois
Wavelet Variance Maximization: A contactless respiration rate estimation method based on remote photoplethysmography. Biomed. Signal Process. Control. 63 (2021)
David Honzátko, Engin Türetken, Pascal Fua, L. Andrea Dunbar
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo. CoRR (2021)
Siavash Arjomand Bigdeli, David Honzátko, Sabine Süsstrunk, L. Andrea Dunbar
Image Restoration using Plug-and-Play CNN MAP Denoisers. VISIGRAPP (4: VISAPP) (2020)
David Honzátko, Siavash Arjomand Bigdeli, Engin Türetken, L. Andrea Dunbar
Efficient Blind-Spot Neural Network Architecture for Image Denoising. SDS (2020)
David Honzátko, Siavash Arjomand Bigdeli, Engin Türetken, L. Andrea Dunbar
Efficient Blind-Spot Neural Network Architecture for Image Denoising. CoRR (2020)
Siavash Arjomand Bigdeli, Geng Lin, Tiziano Portenier, L. Andrea Dunbar, Matthias Zwicker
Learning Generative Models using Denoising Density Estimators. CoRR (2020)
Pedram Pad, Simon Narduzzi, Clément Kündig, Engin Türetken, Siavash Arjomand Bigdeli, L. Andrea Dunbar
Efficient Neural Vision Systems Based on Convolutional Image Acquisition. CVPR (2020)
Duncan Luguern, Yannick Benezeth, Virginie Moser, L. Andrea Dunbar, Fabian Braun, Alia Lemkaddem, Keisuke Nakamura, Randy Gomez, Julien Dubois
Remote photoplethysmography combining color channels with SNR maximization for respiratory rate assessment. ISMICT (2020)
Duncan Luguern, Simon Perche, Yannick Benezeth, Virginie Moser, L. Andrea Dunbar, Fabian Braun, Alia Lemkaddem, Keisuke Nakamura, Randy Gomez, Julien Dubois
An Assessment of Algorithms to Estimate Respiratory Rate from the Remote Photoplethysmogram. CVPR Workshops (2020)
Siavash Arjomand Bigdeli, David Honzátko, Sabine Süsstrunk, L. Andrea Dunbar
Image Restoration using Plug-and-Play CNN MAP Denoisers. CoRR (2019)