Search Results for author: David Hurych

Found 5 papers, 3 papers with code

Teachers in concordance for pseudo-labeling of 3D sequential data

1 code implementation13 Jul 2022 Awet Haileslassie Gebrehiwot, Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Perez, Tomáš Svoboda

We propose to leverage the sequentiality of the captures to boost the pseudo-labeling technique in a teacher-student setup via training multiple teachers, each with access to different temporal information.

3D Object Detection 3D Semantic Segmentation +3

Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation

1 code implementation21 Mar 2022 Antonin Vobecky, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic

This work investigates learning pixel-wise semantic image segmentation in urban scenes without any manual annotation, just from the raw non-curated data collected by cars which, equipped with cameras and LiDAR sensors, drive around a city.

Image Segmentation Unsupervised Semantic Segmentation

Artificial Dummies for Urban Dataset Augmentation

1 code implementation15 Dec 2020 Antonín Vobecký, David Hurych, Michal Uřičář, Patrick Pérez, Josef Šivic

This is achieved with a data generator (called DummyNet) with disentangled control of the pose, the appearance, and the target background scene.

Autonomous Driving

Challenges in Designing Datasets and Validation for Autonomous Driving

no code implementations26 Jan 2019 Michal Uricar, David Hurych, Pavel Krizek, Senthil Yogamani

There is a large gap between academic and industrial setting and a substantial way from a research prototype, built on public datasets, to a deployable solution which is a challenging task.

Autonomous Driving

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