activity
20172026
most citedBoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic Surveillance

154 citations · 387 across the 8 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Homographic Navigation: Geometry-Driven Camera Guidance for Deterministic Planar Capture

Dominik Kroupa, Marek Vaško, Muh Yuzril Ihza Baharuddin +1

We present homographic navigation, a geometry-centric framework for guiding camera acquisition toward precise capture of planar regions. Rather than treating homography as an outpu…

cs.HC2025

The Malleable Glyph (Challenge)

Adam Herout, Vojtěch Bartl, Martin Gaens +1

Malleable Glyph is a new visualization problem and a public challenge. It originated from UX research (namely from research on card sorting UX), but its applications can be diverse…

cs.CV2022★ 12 cited

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…

eess.IV2019★ 1 cited

Segmentation of Defective Skulls from CT Data for Tissue Modelling

Oldřich Kodym, Michal Španěl, Adam Herout

In this work we present a method of automatic segmentation of defective skulls for custom cranial implant design and 3D printing purposes. Since such tissue models are usually requ…

cs.CV2019

Learning Feature Aggregation in Temporal Domain for Re-Identification

Jakub Špaňhel, 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…

cs.CV2018★ 3 cited

Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss

Oldřich Kodym, Michal Španěl, 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…