281 citations · 284 across the 8 of their papers we have counts for
9 papers · 1 filter
KilometerVision: A New Frontier for Large-Scale Spatial Intelligence in VLMs
Aravindh Mahendran, Michael King, Matthew Koichi Grimes +12
We push the frontier of large-scale spatial intelligence in Vision-Language Models (VLMs) and introduce the first benchmark that probes geographical layout understanding from real-…
Scaling Image Geo-Localization to Continent Level
Philipp Lindenberger, Paul-Edouard Sarlin, Jan Hosang +4
Determining the precise geographic location of an image at a global scale remains an unsolved challenge. Standard image retrieval techniques are inefficient due to the sheer volume…
Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization
Dror Aiger, André Araujo, Simon Lynen
Large-scale visual localization systems continue to rely on 3D point clouds built from image collections using structure-from-motion. While the 3D points in these models are repres…
SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding
Paul-Edouard Sarlin, Eduard Trulls, Marc Pollefeys +2
Semantic 2D maps are commonly used by humans and machines for navigation purposes, whether it's walking or driving. However, these maps have limitations: they lack detail, often co…
Efficient Large Scale Inlier Voting for Geometric Vision Problems
Dror Aiger, Simon Lynen, Jan Hosang +1
Outlier rejection and equivalently inlier set optimization is a key ingredient in numerous applications in computer vision such as filtering point-matches in camera pose estimation…
SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching
Grzegorz Kurzejamski, Jacek Komorowski, Lukasz Dabala +3
In this paper, we present a framework for computing dense keypoint correspondences between images under strong scene appearance changes. Traditional methods, based on nearest neigh…
Large-scale, real-time visual-inertial localization revisited
Simon Lynen, Bernhard Zeisl, Dror Aiger +5
The overarching goals in image-based localization are scale, robustness and speed. In recent years, approaches based on local features and sparse 3D point-cloud models have both do…
SConE: Siamese Constellation Embedding Descriptor for Image Matching
Tomasz Trzcinski, Jacek Komorowski, Lukasz Dabala +3
Numerous computer vision applications rely on local feature descriptors, such as SIFT, SURF or FREAK, for image matching. Although their local character makes image matching proces…
Interest point detectors stability evaluation on ApolloScape dataset
Jacek Komorowski, Konrad Czarnota, Tomasz Trzcinski +2
In the recent years, a number of novel, deep-learning based, interest point detectors, such as LIFT, DELF, Superpoint or LF-Net was proposed. However there's a lack of a standard b…