37 citations · 95 across the 10 of their papers we have counts for
14 papers
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud
Dominik Zimny, Joanna Waczyńska, Tomasz Trzciński +1
Contemporary registration devices for 3D visual information, such as LIDARs and various depth cameras, capture data as 3D point clouds. In turn, such clouds are challenging to be p…
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++,…
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…
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…
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…
Neural Comic Style Transfer: Case Study
Maciej Pęśko, Tomasz Trzciński
The work by Gatys et al. [1] recently showed a neural style algorithm that can produce an image in the style of another image. Some further works introduced various improvements re…
Speaker Diarization using Deep Recurrent Convolutional Neural Networks for Speaker Embeddings
Pawel Cyrta, Tomasz Trzciński, Wojciech Stokowiec
In this paper we propose a new method of speaker diarization that employs a deep learning architecture to learn speaker embeddings. In contrast to the traditional approaches that b…
Random Binary Trees for Approximate Nearest Neighbour Search in Binary Space
Michal Komorowski, Tomasz Trzcinski
Approximate nearest neighbour (ANN) search is one of the most important problems in computer science fields such as data mining or computer vision. In this paper, we focus on ANN f…
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…
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…