activity
20172022
most citedGraph-Based Multi-Camera Soccer Player Tracker

5 citations · 5 across the 5 of their papers we have counts for

collaborators

16 papers

cs.CV20225 cited

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…

cs.CV2022

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2021

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++,…

cs.CV2020

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

Jacek Komorowski

The paper presents a learning-based method for computing a discriminative 3D point cloud descriptor for place recognition purposes. Existing methods, such as PointNetVLAD, are base…