5 citations · 5 across the 6 of their papers we have counts for
17 papers · 1 filter
UQ-Loc: Uncertainty-Aware LiDAR Scene Coordinate Regression
Jacek Komorowski
LiDAR-based Scene Coordinate Regression (SCR) maps point clouds directly to 3D scene coordinates, enabling precise 6-DoF localisation without explicit map retrieval. However, exist…
Graph-Based Multi-Camera Soccer Player Tracker
Jacek Komorowski, Grzegorz Kurzejamski
The paper presents a multi-camera tracking method intended for tracking soccer players in long shot video recordings from multiple calibrated cameras installed around the playing f…
Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
Jacek Komorowski
The paper presents a simple and effective learning-based method for computing a discriminative 3D point cloud descriptor for place recognition purposes. Recent state-of-the-art met…
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
The paper presents a deep neural network-based method for global and local descriptors extraction from a point cloud acquired by a rotating 3D LiDAR. The descriptors can be used fo…
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++,…