Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Korbinian Hagn"'
Autor:
Korbinian Hagn, Oliver Grau
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f0a5b684f49a930ab1a3ea5f425b152
https://doi.org/10.1007/978-3-031-25072-9_33
https://doi.org/10.1007/978-3-031-25072-9_33
Autor:
Korbinian Hagn, Oliver Grau
Publikováno v:
Computer Science in Cars Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa17ab9fee7ec834acea60dedb3b64ac
https://doi.org/10.1145/3568160.3570225
https://doi.org/10.1145/3568160.3570225
Publikováno v:
Deep Neural Networks and Data for Automated Driving ISBN: 9783031012327
This chapter introduces a novel data synthesis framework for validation of perception functions based on machine learning to ensure the safety and functionality of these systems, specifically in the context of automated driving. The main contribution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04cf02ad7e85d11fd1160170f9006e9b
https://doi.org/10.1007/978-3-031-01233-4_13
https://doi.org/10.1007/978-3-031-01233-4_13
Autor:
Oliver Grau, Korbinian Hagn
Publikováno v:
CSCS
Synthetic, i.e., computer generated-imagery (CGI) data is a key component for training and validating deep-learning-based perceptive functions due to its ability to simulate rare cases, avoidance of privacy issues and easy generation of huge datasets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9741e891f5eaf32cec6618e56108f21e
https://doi.org/10.1145/3488904.3493383
https://doi.org/10.1145/3488904.3493383
Publikováno v:
CSCS
This contribution discusses the use of variational data synthesis as a tool to analyze and understand limitations of performance of DNNs (deep neural networks) in perception tasks. To date, no universally accepted methodologies for validating ML (Mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5675cfe743c6db985492a52c90815b6f
https://doi.org/10.1145/3385958.3430479
https://doi.org/10.1145/3385958.3430479
Publikováno v:
ITC PhD Workshop
Video streaming has established itself as the main method to consume multimedia content on the Internet. The most widespread technique is HTTP Adaptive Streaming which is used by large video service platforms such as YouTube and Netflix. In order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61862a643c92bd1952de1203b6404713
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85040249818
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85040249818