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ORCIDL. Andrea Dunbar
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- affiliation: Centre Suisse d'Electronique et de Michrotechinque (CSEM), Neuchâtel, Switzerland
- affiliation: EPFL, Lausanne, Switzerland
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2020 – today
- 2025
[j6]Yamin Sepehri
, Pedram Pad, Pascal Frossard, L. Andrea Dunbar:
PriPHiT: Privacy-Preserving Hierarchical Training of Deep Neural Networks. IEEE Trans. Multim. 27: 8803-8818 (2025)- [j5]Yamin Sepehri, Pedram Pad, Ahmet Caner Yüzügüler, Pascal Frossard, L. Andrea Dunbar:
Hierarchical Training of Deep Neural Networks Using Early Exiting. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6271-6285 (2025) - [c12]Pedram Pad, Hadi Hammoud, Mohamad Dia, Nadim Maamari, Liza Andrea Dunbar:
SAND: One-Shot Feature Selection with Additive Noise Distortion. ICML 2025 - [c11]Simon Narduzzi, Rémy Vuagniaux, Kishan Sharma, Shih-Chii Liu, L. Andrea Dunbar:
Steerable Zero-Shot Neural Architecture Search for Efficient Edge Inference. ISCAS 2025: 1-5 - [i10]Pedram Pad, Hadi Hammoud, Mohamad Dia, Nadim Maamari, L. Andrea Dunbar:
SAND: One-Shot Feature Selection with Additive Noise Distortion. CoRR abs/2505.03923 (2025) - 2024
- [j4]Siavash Arjomand Bigdeli, Geng Lin, L. Andrea Dunbar, Tiziano Portenier, Matthias Zwicker:
Learning Generative Models Using Denoising Density Estimators. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17730-17741 (2024) - [c10]Rémy Vuagniaux, Simon Narduzzi, Nadim Maamari, L. Andrea Dunbar:
Constrained Zero-Shot Neural Architecture Search on Small Classification Dataset. SDS 2024: 146-150 - [i9]Yamin Sepehri, Pedram Pad, Pascal Frossard, L. Andrea Dunbar:
PriPHiT: Privacy-Preserving Hierarchical Training of Deep Neural Networks. CoRR abs/2408.05092 (2024) - 2023
- [j3]Yamin Sepehri, Pedram Pad, Clément Kündig, Pascal Frossard, L. Andrea Dunbar:
Privacy-Preserving Image Acquisition for Neural Vision Systems. IEEE Trans. Multim. 25: 6232-6244 (2023) - [c9]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: 1-8 - [i8]Yamin Sepehri, Pedram Pad, Ahmet Caner Yüzügüler, Pascal Frossard, L. Andrea Dunbar:
Hierarchical Training of Deep Neural Networks Using Early Exiting. CoRR abs/2303.02384 (2023) - 2022
- [c8]Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar:
Optimizing The Consumption Of Spiking Neural Networks With Activity Regularization. ICASSP 2022: 61-65 - [c7]Simon Narduzzi, Engin Türetken, Jean-Philippe Thiran, L. Andrea Dunbar:
Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform. SDS 2022: 1-6 - [i7]Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar:
Optimizing the Consumption of Spiking Neural Networks with Activity Regularization. CoRR abs/2204.01460 (2022) - [i6]Simon Narduzzi, Engin Türetken, Jean-Philippe Thiran, L. Andrea Dunbar:
Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform. CoRR abs/2208.11011 (2022) - 2021
- [j2]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: 102263 (2021) - [j1]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): 118 (2021) - [c6]David Honzátko, Engin Türetken, Pascal Fua, L. Andrea Dunbar:
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo. 3DV 2021: 394-402 - [i5]David Honzátko, Engin Türetken, Pascal Fua, L. Andrea Dunbar:
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo. CoRR abs/2103.12106 (2021) - [i4]Yamin Sepehri, Pedram Pad, Pascal Frossard, L. Andrea Dunbar:
Privacy-Preserving Image Acquisition Using Trainable Optical Kernel. CoRR abs/2106.14577 (2021) - 2020
- [c5]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: 1232-1241 - [c4]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: 12282-12291 - [c3]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: 1-6 - [c2]David Honzátko, Siavash Arjomand Bigdeli, Engin Türetken, L. Andrea Dunbar:
Efficient Blind-Spot Neural Network Architecture for Image Denoising. SDS 2020: 59-60 - [c1]Siavash Arjomand Bigdeli, David Honzátko, Sabine Süsstrunk, L. Andrea Dunbar:
Image Restoration using Plug-and-Play CNN MAP Denoisers. VISIGRAPP (4: VISAPP) 2020: 85-92 - [i3]Siavash Arjomand Bigdeli, Geng Lin, Tiziano Portenier, L. Andrea Dunbar, Matthias Zwicker:
Learning Generative Models using Denoising Density Estimators. CoRR abs/2001.02728 (2020) - [i2]David Honzátko, Siavash Arjomand Bigdeli, Engin Türetken, L. Andrea Dunbar:
Efficient Blind-Spot Neural Network Architecture for Image Denoising. CoRR abs/2008.11010 (2020)
2010 – 2019
- 2019
- [i1]Siavash Arjomand Bigdeli, David Honzátko, Sabine Süsstrunk, L. Andrea Dunbar:
Image Restoration using Plug-and-Play CNN MAP Denoisers. CoRR abs/1912.09299 (2019)
Coauthor Index
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