Research output per year
Research output per year
Personal profile
External positions
Postdoc, Computer Vision Center
Jan 2021 → Apr 2021
PhD student, Computer Vision Center
Dec 2015 → Dec 2020
Austrian Fields of Study 2012 (6-stellig)
- 102019 Machine learning
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Dive into the research topics where Marc Masana Castrillo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Class-Incremental Learning: Survey and Performance Evaluation on Image Classification
Masana, M., Liu, X., Twardowski, B., Menta, M., Bagdanov, A. D. & Weijer, J. V. D., 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 5, p. 5513-5533 21 p.Research output: Contribution to journal › Article › peer-review
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An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions
Mirza, M. J., Masana, M., Possegger, H. & Bischof, H., 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). p. 3000-3010Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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A study on robust feature representations for grain density estimates in austenitic steel
Ilic, F., Masana, M., Bogensperger, L., Ganster, H. & Pock, T., 2022, Computer Vision and Pattern Analysis Across Domains: Proceedings of the OAGM Workshop 2021. Seidl, M., Zeppelzauer, M. & Roth, P. M. (eds.). Verlag der Technischen Universität Graz, p. 38-44Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
Automated vortical blood flow-based estimation of mean pulmonary arterial pressure from 4D flow MRI
Kräuter, C., Reiter, U., Kovacs, G., Reiter, C., Masana, M., Olschewski, H., Fuchsjäger, M., Stollberger, R. & Reiter, G., May 2022, In: Magnetic Resonance Imaging. 88, p. 132-141 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
On the Influence of Beta Cell Granule Counting for Classification in Type 1 Diabetes
Bogensperger, L., Masana, M., Ilic, F., Kolb, D., Pieber, T. R. & Pock, T., 2022, Computer Vision and Pattern Analysis Across Domains. Seidl, M., Zeppelzauer, M. & Roth, P. M. (eds.). Verlag der Technischen Universität Graz, p. 45-50Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access