Publications (12)
CNN for IMU Assisted Odometry Estimation using Velodyne LiDAR
Martin Velas, Michal Spanel, Michal Hradis +1
We introduce a novel method for odometry estimation using convolutional neural networks from 3D LiDAR scans. The original sparse data are encoded into 2D matrices for the training…
Learning Feature Aggregation in Temporal Domain for Re-Identification
Jakub Å paÅhel, Jakub Sochor, Roman Juránek +3
Person re-identification is a standard and established problem in the computer vision community. In recent years, vehicle re-identification is also getting more attention. In this…
BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic Surveillance
Jakub Sochor, Jakub Å paÅhel, Adam Herout
In this paper, we focus on fine-grained recognition of vehicles mainly in traffic surveillance applications. We propose an approach that is orthogonal to recent advancements in fin…
Archival Faces: Detection of Faces in Digitized Historical Documents
Marek Vaško, Adam Herout, Michal Hradiš
When digitizing historical archives, it is necessary to search for the faces of celebrities and ordinary people, especially in newspapers, link them to the surrounding text, and ma…
Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss
OldÅich Kodym, Michal Å panÄl, Adam Herout
This paper deals with segmentation of organs at risk (OAR) in head and neck area in CT images which is a crucial step for reliable intensity modulated radiotherapy treatment. We in…
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
Benjamin Kiefer, Matej Kristan, Janez Perš +70
The 1 Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and…