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10/24/2022
EpipolarNVS: leveraging on Epipolar geometry for single-image Novel View Synthesis
Novel-view synthesis (NVS) can be tackled through different approaches, ...
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10/17/2022
Pruning-based Topology Refinement of 3D Mesh using a 2D Alpha Mask
Image-based 3D reconstruction has increasingly stunning results over the...
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10/15/2022
Self-Improving SLAM in Dynamic Environments: Learning When to Mask
Visual SLAM – Simultaneous Localization and Mapping – in dynamic environ...
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10/07/2022
Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning
We consider quantitative analyses of spectral data using laser-induced b...
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04/30/2022
The Tensor Track VII: From Quantum Gravity to Artificial Intelligence
Assuming some familiarity with quantum field theory and with the tensor ...
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12/23/2021
Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes
We propose Selective Multiple Power Iterations (SMPI), a new algorithm t...
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11/30/2021
HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials
Laser-induced breakdown spectroscopy is a preferred technique for fast a...
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08/20/2021
A Multiple-View Geometric Model for Specularity Prediction on Non-Uniformly Curved Surfaces
Specularity prediction is essential to many computer vision applications...
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08/04/2021
Deep multi-task mining Calabi-Yau four-folds
We continue earlier efforts in computing the dimensions of tangent space...
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11/12/2020
Learning to Segment Dynamic Objects using SLAM Outliers
We present a method to automatically learn to segment dynamic objects us...
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01/21/2020
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
This paper shows that deep learning (DL) representations of data produce...
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04/04/2019
Deep Multi-class Adversarial Specularity Removal
We propose a novel learning approach, in the form of a fully-convolution...
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02/27/2019
Generative Collaborative Networks for Single Image Super-Resolution
A common issue of deep neural networks-based methods for the problem of ...
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12/27/2017
