166 citations · 218 across the 8 of their papers we have counts for
11 papers
DINO-A: Adapting Self-Distillation Vision Transformers to General Audio Representation Learning
Tomasz Radzikowski, Mateusz Modrzejewski, Przemysław Rokita
We present DINO-A, an adaptation of self-distillation from vision to general audio representation learning. While DINO has become a canonical method in self-supervised vision and p…
Convolutional Neural Networks in Orthodontics: a review
Szymon Płotka, Tomasz Włodarczyk, Ryszard Szczerba +5
Convolutional neural networks (CNNs) are used in many areas of computer vision, such as object tracking and recognition, security, military, and biomedical image analysis. This rev…
Spontaneous preterm birth prediction using convolutional neural networks
Tomasz Włodarczyk, Szymon Płotka, Przemysław Rokita +4
An estimated 15 million babies are born too early every year. Approximately 1 million children die each year due to complications of preterm birth (PTB). Many survivors face a life…
Estimation of preterm birth markers with U-Net segmentation network
Tomasz Włodarczyk, Szymon Płotka, Tomasz Trzciński +4
Preterm birth is the most common cause of neonatal death. Current diagnostic methods that assess the risk of preterm birth involve the collection of maternal characteristics and tr…
Comixify: Transform video into a comics
Maciej Pęśko, Adam Svystun, Paweł Andruszkiewicz +2
In this paper, we propose a solution to transform a video into a comics. We approach this task using a neural style algorithm based on Generative Adversarial Networks (GANs). Sever…
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…
Recurrent Neural Networks for Online Video Popularity Prediction
Tomasz Trzcinski, Pawel Andruszkiewicz, Tomasz Bochenski +1
In this paper, we address the problem of popularity prediction of online videos shared in social media. We prove that this challenging task can be approached using recently propose…
Shallow reading with Deep Learning: Predicting popularity of online content using only its title
Wociech Stokowiec, Tomasz Trzcinski, Krzysztof Wolk +2
With the ever decreasing attention span of contemporary Internet users, the title of online content (such as a news article or video) can be a major factor in determining its popul…
Predicting popularity of online videos using Support Vector Regression
Tomasz Trzcinski, Przemyslaw Rokita
In this work, we propose a regression method to predict the popularity of an online video based on temporal and visual cues. Our method uses Support Vector Regression with Gaussian…