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Amirhossein Kardoost
Amirhossein Kardoost
Phd student of computer science (computer vision), University of Mannheim
Verified email at mail.uni-mannheim.de - Homepage
Title
Cited by
Cited by
Year
Solving minimum cost lifted multicut problems by node agglomeration
A Kardoost, M Keuper
Asian Conference on Computer Vision, 74-89, 2018
122018
Self-supervised sparse to dense motion segmentation
A Kardoost, K Ho, P Ochs, M Keuper
Proceedings of the Asian Conference on Computer Vision, 2020
32020
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
22020
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, 2022
2022
Optimizing Edge Detection for Image Segmentation with Multicut Penalties
S Jung, S Ziegler, A Kardoost, M Keuper
arXiv preprint arXiv:2112.05416, 2021
2021
Uncertainty in minimum cost multicuts for image and motion segmentation
A Kardoost, M Keuper
Uncertainty in Artificial Intelligence, 2029-2038, 2021
2021
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
2021
Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation (Supplementary material)
A Kardoost, M Keuper
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