activity
20182023
most citedGraph-Based Multi-Camera Soccer Player Tracker

5 citations · 7 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV2023★ 1 cited

Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers

Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski +2

Vision transformers have excelled in various computer vision tasks but mostly rely on rigid input sampling using a fixed-size grid of patches. It limits their applicability in real…

cs.CV2023

Active Visual Exploration Based on Attention-Map Entropy

Adam Pardyl, Grzegorz Rypeść, Grzegorz Kurzejamski +2

Active visual exploration addresses the issue of limited sensor capabilities in real-world scenarios, where successive observations are actively chosen based on the environment. To…

cs.CV2022★ 5 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.NE2022★ 1 cited

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…

cs.CV2019

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…

cs.CV2019

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…