128 citations · 494 across the 41 of their papers we have counts for
50 papers
Bottom-up Modeling of Repeated Elements via Single Image Analysis-by-Synthesis
Syrine Kalleli, Alexei A. Efros, Mathieu Aubry
We address the problem of discovering repeated elements from a single image. In contrast to existing approaches that depend on large annotated datasets, curated multi-image collect…
Segmenting France Across Four Centuries
Marta López-Rauhut, Hongyu Zhou, Mathieu Aubry +1
Historical maps offer an invaluable perspective into territory evolution across past centuries--long before satellite or remote sensing technologies existed. Deep learning methods…
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…
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…
General Detection-based Text Line Recognition
Raphael Baena, Syrine Kalleli, Mathieu Aubry
We introduce a general detection-based approach to text line recognition, be it printed (OCR) or handwritten (HTR), with Latin, Chinese, or ciphered characters. Detection-based app…
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…