Zobrazeno 1 - 10
of 10
pro vyhledávání: '"David Hurych"'
Autor:
Awet Haileslassie Gebrehiwot, Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Perez, Tomas Svoboda
Automatic pseudo-labeling is a powerful tool to tap into large amounts of sequential unlabeled data. It is specially appealing in safety-critical applications of autonomous driving, where performance requirements are extreme, datasets are large, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d494455b0953c13a9299f3cde39eb66
Autor:
Antonin Vobecky, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198380
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3583d08a539321024ecc55ba2a2d14e3
https://doi.org/10.1007/978-3-031-19839-7_28
https://doi.org/10.1007/978-3-031-19839-7_28
Existing datasets for training pedestrian detectors in images suffer from limited appearance and pose variation. The most challenging scenarios are rarely included because they are too difficult to capture due to safety reasons, or they are very unli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82f28b4f51e45e0a89b2083fb11b4a0a
Autor:
Pavel Krizek, David Hurych, Michal Uricar, Senthil Yogamani, Jan Ulicny, Antonin Vobecky, Hazem Rashed, Ganesh Sistu
Publikováno v:
ICCV Workshops
Surround-view cameras became an integral part of autonomous driving setup. Being directly exposed to harsh environmental settings, they can get soiled easily. When cameras get soiled, the degradation of performance is usually more dramatic compared t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38aefb6acacb376aa00de9a8c95d14ce
https://doi.org/10.1109/iccvw.2019.00526
https://doi.org/10.1109/iccvw.2019.00526
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 36:731-743
This paper shows that the successively evaluated features used in a sliding window detection process to decide about object presence/absence also contain knowledge about object deformation. We exploit these detection features to estimate the object d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec4e39582dfb17cfc6caa212f3472978
https://doi.org/10.1109/tpami.2013.171
https://doi.org/10.1109/tpami.2013.171
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642323492
This paper addresses object detection and tracking in high-resolution omnidirectional images. The foreseen application is a visual subsystem of a rescue robot equipped with an omnidirectional camera, which demands real-time efficiency and robustness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5f100c30150dcb115e752134d10552b
https://doi.org/10.1007/978-3-642-32350-8_15
https://doi.org/10.1007/978-3-642-32350-8_15
Publikováno v:
Computer Vision – ACCV 2012 ISBN: 9783642373305
ACCV (1)
ACCV (1)
We exploit image features multiple times in order to make sequential decision process faster and better performing. In the decision process features providing knowledge about the object presence or absence in a given detection window are successively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbdf5d67c58d7049c1ccf8942e367801
https://doi.org/10.1007/978-3-642-37331-2_34
https://doi.org/10.1007/978-3-642-37331-2_34
Publikováno v:
ICARA
We improve an object detector based on cascade of classifiers by a local alignment of the sliding window. The detector needs to operate on a relatively sparse grid in order to achieve a real time performance on high-resolution images. The proposed lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f45398cad80a3a5e3884739a6a790011
https://doi.org/10.1109/icara.2011.6144881
https://doi.org/10.1109/icara.2011.6144881
Publikováno v:
ICCV Workshops
This paper summarizes results of face association experiments on real low resolution data from airport and the Labeled faces in the Wild (LFW) database. The objective of experiments is to evaluate different face alignment methods and their contributi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c1e2c3e5a008ad441afa673d27e2399
https://doi.org/10.1109/iccvw.2009.5457473
https://doi.org/10.1109/iccvw.2009.5457473
Publikováno v:
Scopus-Elsevier
VISIGRAPP (5: VISAPP)
VISIGRAPP (5: VISAPP)
Autonomous driving is getting a lot of attention in the last decade and will be the hot topic at least until the first successful certification of a car with Level 5 autonomy. There are many public datasets in the academic community. However, they ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21ed5eb1873edf11e464394c49575ceb
http://www.scopus.com/inward/record.url?eid=2-s2.0-85068536909&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85068536909&partnerID=MN8TOARS