COMPUTER VISION AND IMAGE UNDERSTANDING
Skrót:
COMPUT VIS IMAGE UND
ISSN:
1077-3142
| Rok | Punkty ministerialne | Impact Factor | Eigenfactor | Article influence |
|---|---|---|---|---|
| 2024 | 100 | |||
| 2023 | 100 | 0.0053 | 1.289 | |
| 2022 | 100 | 0.00628 | 1.329 | |
| 2021 | 100 | 0.00611 | 1.09 | |
| 2020 | 100 | 0.00733 | 1.154 | |
| 2019 | 100 | 0.00889 | 1.066 | |
| 2018 | 35 | 0.00933 | 1.032 | |
| 2017 | 35 | 0.00855 | 1.001 | |
| 2016 | 30 | 0.00907 | 1.069 | |
| 2015 | 30 | 0.00833 | 0.946 | |
| 2014 | 35 | 0.00643 | 0.734 | |
| 2013 | 35 | 0.00957 | 1.096 | |
| 2012 | 40 | 0.01093 | 1.23 | |
| 2011 | 32 | 0.0106 | 1.299 | |
| 2010 | 32 | 0.00945 | 1.197 | |
| 2009 | 24 | 0.00656 | 0.842 | |
| 2008 | 24 | 0.00792 | 1.099 | |
| 2007 | 0 | 0.00645 | 0.976 |
Publikacje:
6.
Gaussian Splatting with NeRF-based color and opacity, Computer Vision and Image Understanding vol. 1077-3142 (2024), 104273
5.
LocoGAN—Locally convolutional GAN, Computer Vision and Image Understanding vol. 221 (2022), 103462
4.
Kyunghyun Cho, Krzysztof J. Geras, Konrad Żołna
3.
Mateusz Juda, Markus Seidl, Matthias Zeppelzauer, Bartosz Zieliński
2.
Andrea Cerri, Barbara Di Fabio, Grzegorz Jabłoński, Filippo Medri