Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jonathan Schierl"'
Autor:
Theus H. Aspiras, Vijayan K. Asari, Nina Singer, Jonathan Schierl, Andy Stokes, Brett Keaffaber, Andre Van Rynbach, Kevin Decker, David Rabb
Publikováno v:
Pattern Recognition and Tracking XXXIII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::945bfb737c83898944597009146eaaa9
https://doi.org/10.1117/12.2622313
https://doi.org/10.1117/12.2622313
Publikováno v:
Pattern Recognition and Tracking XXXIII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a49605d5247e8a23e64e4895e2b66f2
https://doi.org/10.1117/12.2622314
https://doi.org/10.1117/12.2622314
Autor:
Jonathan Schierl, Vijayan Asari, Nina Singer, Theus Aspiras, Andrew Stokes, Brett Keaffaber, Andre Van Rynbach, Kevin Decker, David Rabb
Publikováno v:
Multimodal Image Exploitation and Learning 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dde53b37b6ee883cf054d761154c1858
https://doi.org/10.1117/12.2618564
https://doi.org/10.1117/12.2618564
Autor:
Jonathan Schierl, Vijayan Asari, Nina Singer, Theus Aspiras, Andrew Stokes, Brett Keaffaber, Andre Van Rynbach, Kevin Decker, David Rabb
Publikováno v:
2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d9b1cdfb837bd50fb9df058ac15e7d7
https://doi.org/10.1109/aipr52630.2021.9762086
https://doi.org/10.1109/aipr52630.2021.9762086
Autor:
Nina Singer, Vijayan K. Asari, Theus Aspiras, Jonathan Schierl, Andrew Stokes, Brett Keaffaber, Andre Van Rynbach, Kevin Decker, David Rabb
Publikováno v:
2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6663aa13524d7d920c8c5b77f92d434
https://doi.org/10.1109/aipr52630.2021.9762188
https://doi.org/10.1109/aipr52630.2021.9762188
Autor:
Quinn Graehling, Theus H. Aspiras, Dave Rabb, Vijay Asari, Jonathan Schierl, Andre Van Rynbach
Publikováno v:
AIPR
Multi-modal data is useful for complex imaging scenarios due to the exclusivity of information found in each modality, but there is a lack of meaningful comparisons of different modalities for object detection. In our work, we propose three contribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56cc7df2eb2e0dd83572f8690e6687cc
https://doi.org/10.1109/aipr50011.2020.9425039
https://doi.org/10.1109/aipr50011.2020.9425039