37 citations · 87 across the 5 of their papers we have counts for
12 papers
Large-Scale Topological Radar Localization Using Learned Descriptors
Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
In this work, we propose a method for large-scale topological localization based on radar scan images using learned descriptors. We present a simple yet efficient deep network arch…
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
We introduce a discriminative multimodal descriptor based on a pair of sensor readings: a point cloud from a LiDAR and an image from an RGB camera. Our descriptor, named MinkLoc++,…
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…
Comixify: Transform video into a comics
Maciej Pęśko, Adam Svystun, Paweł Andruszkiewicz +2
In this paper, we propose a solution to transform a video into a comics. We approach this task using a neural style algorithm based on Generative Adversarial Networks (GANs). Sever…
Aggregation of binary feature descriptors for compact scene model representation in large scale structure-from-motion applications
Jacek Komorowski, Tomasz Trzcinski
In this paper we present an efficient method for aggregating binary feature descriptors to allow compact representation of 3D scene model in incremental structure-from-motion and S…
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…