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

154 citations · 371 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Toward Sub-1 kB Identity-Preserving Face Compression: A Benchmark of Codecs, a Custom Learned Codec, and Studies of Resolution, Demographic Fairness, Recompression, and Adversarial Robustness

Petr Hurtik, Jakub Sochor

Storing face images under a hard sub-kilobyte budget, as required for identity documents, smart-card biometrics and bandwidth-constrained verification, forces a codec to discard mo…

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.CV2017★ 154 cited

BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic Surveillance

Jakub Sochor, Jakub Špaňhel, 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…

cs.CV2017★ 129 cited

Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement

Jakub Sochor, Roman Juránek, Adam Herout

In this paper, we focus on fully automatic traffic surveillance camera calibration, which we use for speed measurement of passing vehicles. We improve over a recent state-of-the-ar…

cs.CV2017★ 88 cited

Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement

Jakub Sochor, Roman Juránek, Jakub Špaňhel +4

In this paper, we focus on traffic camera calibration and a visual speed measurement from a single monocular camera, which is an important task of visual traffic surveillance. Exis…