Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Baldo Faieta"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250552
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09dddb344e9cfdcb2fe6806733a5e846
https://doi.org/10.1007/978-3-031-25056-9_14
https://doi.org/10.1007/978-3-031-25056-9_14
Autor:
Dan Ruta, Andrew Gilbert, Pranav Aggarwal, Naveen Marri, Ajinkya Kale, Jo Briggs, Chris Speed, Hailin Jin, Baldo Faieta, Alex Filipkowski, Zhe Lin, John Collomosse
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200731
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c989a5dd7f96e6f78f229572ef823d6
https://doi.org/10.1007/978-3-031-20074-8_13
https://doi.org/10.1007/978-3-031-20074-8_13
Autor:
Alireza Zaeemzadeh, Shabnam Ghadar, Baldo Faieta, Zhe Lin, Nazanin Rahnavard, Mubarak Shah, Ratheesh Kalarot
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65a963e01a880e63e3807282d6eb13b5
https://doi.org/10.1109/iccv48922.2021.01190
https://doi.org/10.1109/iccv48922.2021.01190
Autor:
Jianming Zhang, Baldo Faieta, Xin Yuan, Zhe Lin, Yilin Wang, Michael Maire, Jason Kuen, Ajinkya Gorakhnath Kale
Publikováno v:
CVPR
We develop an approach to learning visual representations that embraces multimodal data, driven by a combination of intra- and inter-modal similarity preservation objectives. Unlike existing visual pre-training methods, which solve a proxy prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66f0eaf1890a7aaeef4f52d5065ba12f
Autor:
Bernardo A. Huberman, Baldo Faieta
The researchers presented a synchronization strategy for urban traffic based on triggering events initiated by traffic lights that improves over existing algorithms. Simulations of urban traffic on a massively parallel machine provide a quantitative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2e78856586b56a34ea318f872703680
https://doi.org/10.21236/ada270872
https://doi.org/10.21236/ada270872