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Amirhossein Kardoost
Amirhossein Kardoost
PostDoc - Helmholtz-Munich - AI for Health
Verified email at helmholtz-munich.de - Homepage
Title
Cited by
Cited by
Year
Solving minimum cost lifted multicut problems by node agglomeration
A Kardoost, M Keuper
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
212019
A two-stage minimum cost multicut approach to self-supervised multiple person tracking
K Ho, A Kardoost, FJ Pfreundt, J Keuper, M Keuper
Proceedings of the Asian Conference on Computer Vision, 2020
122020
Higher-order multicuts for geometric model fitting and motion segmentation
E Levinkov, A Kardoost, B Andres, M Keuper
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 608-622, 2022
92022
Self-supervised sparse to dense motion segmentation
A Kardoost, K Ho, P Ochs, M Keuper
Proceedings of the Asian Conference on Computer Vision, 2020
82020
Uncertainty in minimum cost multicuts for image and motion segmentation
A Kardoost, M Keuper
Uncertainty in Artificial Intelligence, 2029-2038, 2021
42021
Optimizing edge detection for image segmentation with multicut penalties
S Jung, S Ziegler, A Kardoost, M Keuper
DAGM German Conference on Pattern Recognition, 182-197, 2022
22022
Object Segmentation Tracking from Generic Video Cues
A Kardoost, S Müller, J Weickert, M Keuper
2020 25th International Conference on Pattern Recognition (ICPR), 623-630, 2021
12021
Minimum cost multicuts for image and motion segmentation
A Kardoost
2023
Convolutional neural network approach for the automated identification of in cellulo crystals
A Kardoost, R Schönherr, C Deiter, L Redecke, K Lorenzen, J Schulz, ...
bioRxiv, 2023.03. 28.533948, 2023
2023
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