6 citations · 15 across the 5 of their papers we have counts for
5 papers
Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images
Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli +1
Image features for retrieval-based localization must be invariant to dynamic objects (e.g. cars) as well as seasonal and daytime changes. Such invariances are, up to some extent, l…
Geometrically Mappable Image Features
Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli +1
Vision-based localization of an agent in a map is an important problem in robotics and computer vision. In that context, localization by learning matchable image features is gainin…
Sliced Wasserstein Generative Models
Jiqing Wu, Zhiwu Huang, Dinesh Acharya +4
In generative modeling, the Wasserstein distance (WD) has emerged as a useful metric to measure the discrepancy between generated and real data distributions. Unfortunately, it is…
Mapping, Localization and Path Planning for Image-based Navigation using Visual Features and Map
Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli +2
Building on progress in feature representations for image retrieval, image-based localization has seen a surge of research interest. Image-based localization has the advantage of b…
Wasserstein Divergence for GANs
Jiqing Wu, Zhiwu Huang, Janine Thoma +2
In many domains of computer vision, generative adversarial networks (GANs) have achieved great success, among which the family of Wasserstein GANs (WGANs) is considered to be state…