7 citations · 14 across the 5 of their papers we have counts for
5 papers
Location retrieval using visible landmarks based qualitative place signatures
Lijun Wei, Valerie Gouet-Brunet, Anthony Cohn
Location retrieval based on visual information is to retrieve the location of an agent (e.g. human, robot) or the area they see by comparing the observations with a certain form of…
Connecting Images through Time and Sources: Introducing Low-data, Heterogeneous Instance Retrieval
Dimitri Gominski, Valérie Gouet-Brunet, Liming Chen
With impressive results in applications relying on feature learning, deep learning has also blurred the line between algorithm and data. Pick a training dataset, pick a backbone ne…
Unifying Remote Sensing Image Retrieval and Classification with Robust Fine-tuning
Dimitri Gominski, Valérie Gouet-Brunet, Liming Chen
Advances in high resolution remote sensing image analysis are currently hampered by the difficulty of gathering enough annotated data for training deep learning methods, giving ris…
Semantic Signatures for Large-scale Visual Localization
Li Weng, Valerie Gouet-Brunet, Bahman Soheilian
Visual localization is a useful alternative to standard localization techniques. It works by utilizing cameras. In a typical scenario, features are extracted from captured images a…
Challenging deep image descriptors for retrieval in heterogeneous iconographic collections
Dimitri Gominski, Martyna Poreba, Valérie Gouet-Brunet +1
This article proposes to study the behavior of recent and efficient state-of-the-art deep-learning based image descriptors for content-based image retrieval, facing a panel of comp…