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Alexander Hermans

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An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs

Feb 08, 2024
Patrick Wienholt, Alexander Hermans, Firas Khader, Behrus Puladi, Bastian Leibe, Christiane Kuhl, Sven Nebelung, Daniel Truhn

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Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images

Feb 04, 2024
Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi

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UGainS: Uncertainty Guided Anomaly Instance Segmentation

Aug 03, 2023
Alexey Nekrasov, Alexander Hermans, Lars Kuhnert, Bastian Leibe

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DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer

Apr 13, 2023
Amit Kumar Rana, Sabarinath Mahadevan, Alexander Hermans, Bastian Leibe

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Point2Vec for Self-Supervised Representation Learning on Point Clouds

Mar 29, 2023
Karim Abou Zeid, Jonas Schult, Alexander Hermans, Bastian Leibe

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TarViS: A Unified Approach for Target-based Video Segmentation

Jan 06, 2023
Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe

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Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats

Dec 29, 2022
István Sárándi, Alexander Hermans, Bastian Leibe

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Mask3D for 3D Semantic Instance Segmentation

Oct 06, 2022
Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, Bastian Leibe

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Global Hierarchical Attention for 3D Point Cloud Analysis

Aug 07, 2022
Dan Jia, Alexander Hermans, Bastian Leibe

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