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20212026
most citedSatellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift

1 citations · 3 across the 7 of their papers we have counts for

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cs.CV2026

PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer

David Picard, Nicolas Dufour, Lucas Degeorge +14

This paper introduces the Polynomial Mixer (PoM), a novel token mixing mechanism with linear complexity that serves as a drop-in replacement for self-attention. PoM aggregates inpu…

cs.CV2026

Remote Sensing Change Detection via Weak Temporal Supervision

Xavier Bou, Elliot Vincent, Gabriele Facciolo +3

Semantic change detection in remote sensing aims to identify land cover changes between bi-temporal image pairs. Progress in this area has been limited by the scarcity of annotated…

cs.CV2025

CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis

Abhishek Kuriyal, Elliot Vincent, Mathieu Aubry +1

Global variations in terrain appearance raise a major challenge for satellite image analysis, leading to poor model performance when training on locations that differ from those en…

cs.CV20241 cited

Detecting Looted Archaeological Sites from Satellite Image Time Series

Elliot Vincent, Mehraïl Saroufim, Jonathan Chemla +4

Archaeological sites are the physical remains of past human activity and one of the main sources of information about past societies and cultures. However, they are also the target…

cs.CV2024

Historical Printed Ornaments: Dataset and Tasks

Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent +5

This paper aims to develop the study of historical printed ornaments with modern unsupervised computer vision. We highlight three complex tasks that are of critical interest to boo…

cs.CV2021

Unsupervised Layered Image Decomposition into Object Prototypes

Tom Monnier, Elliot Vincent, Jean Ponce +1

We present an unsupervised learning framework for decomposing images into layers of automatically discovered object models. Contrary to recent approaches that model image layers wi…