46 citations · 65 across the 5 of their papers we have counts for
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math.OC2019
A Wasserstein-type distance in the space of Gaussian Mixture Models
Julie Delon, Agnes Desolneux
In this paper we introduce a Wasserstein-type distance on the set of Gaussian mixture models. This distance is defined by restricting the set of possible coupling measures in the o…
cs.CV2019
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
Matias Tassano, Julie Delon, Thomas Veit
In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture. Until recently, video denoising with neural networks ha…
eess.IV2019
DVDnet: A Fast Network for Deep Video Denoising
Matias Tassano, Julie Delon, Thomas Veit
In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture. Previous neural network based approaches to video denoi…