34 citations · 64 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
Robust Method of Vote Aggregation and Proposition Verification for Invariant Local Features
Grzegorz Kurzejamski, Jacek Zawistowski, Grzegorz Sarwas
This paper presents a method for analysis of the vote space created from the local features extraction process in a multi-detection system. The method is opposed to the classic clu…
A framework for robust object multi-detection with a vote aggregation and a cascade filtering
Grzegorz Kurzejamski, Jacek Zawistowski, Grzegorz Sarwas
This paper presents a framework designed for the multi-object detection purposes and adjusted for the application of product search on the market shelves. The framework uses a sing…