47 citations · 103 across the 15 of their papers we have counts for
19 papers
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…
Sports Camera Pose Refinement Using an Evolution Strategy
Grzegorz Rypeść, Grzegorz Kurzejamski, Jacek Komorowski
This paper presents a robust end-to-end method for sports cameras extrinsic parameters optimization using a novel evolution strategy. First, we developed a neural network architect…
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…
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensity
Kamil Żywanowski, Adam Banaszczyk, Michał R. Nowicki +1
The 3D LiDAR place recognition aims to estimate a coarse localization in a previously seen environment based on a single scan from a rotating 3D LiDAR sensor. The existing solution…
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++,…
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…
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…
FootAndBall: Integrated player and ball detector
Jacek Komorowski, Grzegorz Kurzejamski, Grzegorz Sarwas
The paper describes a deep neural network-based detector dedicated for ball and players detection in high resolution, long shot, video recordings of soccer matches. The detector, d…
DeepBall: Deep Neural-Network Ball Detector
Jacek Komorowski, Grzegorz Kurzejamski, Grzegorz Sarwas
The paper describes a deep network based object detector specialized for ball detection in long shot videos. Due to its fully convolutional design, the method operates on images of…
Extrinsic camera calibration method and its performance evaluation
Jacek Komorowski, Przemyslaw Rokita
This paper presents a method for extrinsic camera calibration (estimation of camera rotation and translation matrices) from a sequence of images. It is assumed camera intrinsic mat…
Face Recognition Based on Sequence of Images
Jacek Komorowski, Przemyslaw Rokita
This paper presents a face recognition method based on a sequence of images. Face shape is reconstructed from images using a combination of structure-from-motion and multi-view ste…
Camera Pose Estimation from Sequence of Calibrated Images
Jacek Komorowski, Przemyslaw Rokita
In this paper a method for camera pose estimation from a sequence of images is presented. The method assumes camera is calibrated (intrinsic parameters are known) which allows to d…
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…
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…
Evaluation of Hashing Methods Performance on Binary Feature Descriptors
Jacek Komorowski, Tomasz Trzcinski
In this paper we evaluate performance of data-dependent hashing methods on binary data. The goal is to find a hashing method that can effectively produce lower dimensional binary r…