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08/08/2023
Minimizing Quotient Regularization Model
Quotient regularization models (QRMs) are a class of powerful regulariza...
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06/07/2022
Patch-based image Super Resolution using generalized Gaussian mixture model
Single Image Super Resolution (SISR) methods aim to recover the clean im...
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12/02/2020
An algorithm for non-convex off-the-grid sparse spike estimation with a minimum separation constraint
Theoretical results show that sparse off-the-grid spikes can be estimate...
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09/18/2020
The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension
Non-convex methods for linear inverse problems with low-dimensional mode...
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08/30/2019
LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net
We propose LU-Net -- for LiDAR U-Net, a new method for the semantic segm...
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05/21/2019
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud
This paper proposes RIU-Net (for Range-Image U-Net), the adaptation of a...
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11/29/2018
The basins of attraction of the global minimizers of the non-convex sparse spikes estimation problem
The sparse spike estimation problem consists in estimating a number of o...
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09/18/2017
Variational Methods for Normal Integration
The need for an efficient method of integration of a dense normal field ...
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09/18/2017
Normal Integration: A Survey
The need for efficient normal integration methods is driven by several c...
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07/21/2013
