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03/04/2023
Hierarchical Training of Deep Neural Networks Using Early Exiting
Deep neural networks provide state-of-the-art accuracy for vision tasks ...
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08/23/2022
Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform
Designing Deep Neural Networks (DNNs) running on edge hardware remains a...
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04/04/2022
Optimizing the Consumption of Spiking Neural Networks with Activity Regularization
Reducing energy consumption is a critical point for neural network model...
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06/28/2021
Privacy-Preserving Image Acquisition Using Trainable Optical Kernel
Preserving privacy is a growing concern in our society where sensors and...
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03/22/2021
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo
The problem of estimating a surface shape from its observed reflectance ...
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08/25/2020
Efficient Blind-Spot Neural Network Architecture for Image Denoising
Image denoising is an essential tool in computational photography. Stand...
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01/08/2020
Learning Generative Models using Denoising Density Estimators
Learning generative probabilistic models that can estimate the continuou...
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12/18/2019