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Project
EC/H2020 | 866008 | RED (8)
HMWK | 500/10.001-(00012) | TAM - TP Roth (7)HMWK | 500/10.001-(00111) | 3AI - TP Roth (3)HMWK | 500/10.001-(00111) | 3AI-NWG Schaub-Meyer (3)HMWK | III L6-519/03/05.001-(0016) | emergenCity - TP Roth (3)HMWK | 519/03/06.001-(0010) | WhiteBox - TP Roth (1)

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Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model 

Endres, Jannik; Hahn, Oliver; Corbière, Charles; Schaub-Meyer, Simone; Roth, Stefan; Alahi, Alexandre (2025-03)
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Benchmarking the Attribution Quality of Vision Models 

Hesse, Robin; Schaub-Meyer, Simone; Roth, Stefan (2024-12)
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Dense Unsupervised Learning for Video Segmentation 

Araslanov, Nikita; Schaub-Meyer, Simone; Roth, Stefan (2021-12)
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Fast Axiomatic Attribution for Neural Networks 

Hesse, Robin; Schaub-Meyer, Simone; Roth, Stefan (2021-12)
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Scene-Centric Unsupervised Panoptic Segmentation 

Hahn, Oliver; Reich, Christoph; Araslanov, Nikita; Cremers, Daniel; Rupprecht, Christian; Roth, Stefan (2025-06-11)
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Semantic Self-adaptation: Enhancing Generalization with a Single Sample 

Bahmani, Sherwin; Hahn, Oliver; Zamfir, Eduard; Araslanov, Nikita; Cremers, Daniel; Roth, Stefan (2023-07)
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Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals 

Hahn, Oliver; Araslanov, Nikita; Schaub-Meyer, Simone; Roth, Stefan (2024-09)
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Content-Adaptive Downsampling in Convolutional Neural Networks 

Hesse, Robin; Schaub-Meyer, Simone; Roth, Stefan (2023-06)
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