6 citations · 14 across the 13 of their papers we have counts for
6 papers · 1 filter
Variational Augmented Invertible Koopman Autoencoder for probabilistic time series forecasting
Anthony Frion, Lucas Drumetz, Guillaume Tochon +3
Neural Koopman autoencoder models have been shown to successfully build a latent embedding with linear dynamics for arbitrary dynamical systems, enabling strong performance in long…
XCalib Depth-Guided Geometric Optimization for Dense Thermal-Visible Video Registration
Aurelien Godet, Gabriel Jobert, Mauro Dalla Mura
Image registration is a vital preprocessing step in multimodal perception tasks, including image fusion, object detection, and semantic segmentation. In Advanced Driver- Assistance…
Lightweight Interpretable RGB-Guided Hyperspectral Super-Resolution under Real Cross-resolution Misalignment
Mohamad Jouni, Aurélien Godet, Mauro Dalla Mura
Compact snapshot hyperspectral cameras provide rich instantaneous spectral measurements for ground-level machine vision, but at lower spatial resolution than standard RGB cameras.…
Time-Reversed Imaging: A Multimodal Benchmark and Framework for Reconstructing Past Human-Environment Interactions
Jorge Bacca, Kebin Contreras, Luis Toscano-Palomino +1
We introduce time-reversed imaging, a new paradigm that infers what just happened in a scene from fading multimodal traces. Instead of extrapolating or interpolating video frames,…
Leveraging pretrained RGB denoisers for hyperspectral image restoration
Daniele Picone, Mohamad Jouni, Mauro Dalla-Mura
Hyperspectral image restoration faces several challenges, including limited training data, strong sensor specificity, and high spectral dimensionality. These limitations hinder the…
The data heat island effect: quantifying the impact of AI data centers in a warming world
Andrea Marinoni, Erik Cambria, Weisi Lin +6
The strong and continuous increase of AI-based services leads to the steady proliferation of AI data centres worldwide with the unavoidable escalation of their power consumption. I…