1 citations · 1 across the 4 of their papers we have counts for
5 papers
Barycentric Anchored Weight Search for Robust Model Merging
Antoni Buades, Jose-Luis Lisani
We propose Barycentric Anchored Search, a post-hoc weight-space procedure for improving fine-tuned vision models under distribution shift without additional gradient training or in…
Combi-CAM: A Novel Multi-Layer Approach for Explainable Image Geolocalization
David Faget, José Luis Lisani, Miguel Colom
Planet-scale photo geolocalization involves the intricate task of estimating the geographic location depicted in an image purely based on its visual features. While deep learning m…
Enhancing Underwater Images Using Deep Learning with Subjective Image Quality Integration
Jose M. Montero, Jose-Luis Lisani
Recent advances in deep learning, particularly neural networks, have significantly impacted a wide range of fields, including the automatic enhancement of underwater images. This p…
Two Deep Learning Solutions for Automatic Blurring of Faces in Videos
Roman Plaud, Jose-Luis Lisani
The widespread use of cameras in everyday life situations generates a vast amount of data that may contain sensitive information about the people and vehicles moving in front of th…
Efficient joint noise removal and multi exposure fusion
A. Buades, J. L Lisani, O. Martorell
Multi-exposure fusion (MEF) is a technique for combining different images of the same scene acquired with different exposure settings into a single image. All the proposed MEF algo…