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An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions



M. Jehanzeb Mirza , Marc Masana , Horst Possegger , Horst Bischof

* Accepted to CVPR Workshops - Camera Ready Version 

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OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data



David Schinagl , Georg Krispel , Horst Possegger , Peter M. Roth , Horst Bischof

* CVPR 2022, code is available at https://github.com/dschinagl/occam 

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CycDA: Unsupervised Cycle Domain Adaptation from Image to Video



Wei Lin , Anna Kukleva , Kunyang Sun , Horst Possegger , Hilde Kuehne , Horst Bischof


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3D Human Pose Estimation Using Möbius Graph Convolutional Networks



Niloofar Azizi , Horst Possegger , Emanuele RodolĂ  , Horst Bischof


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The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization



M. Jehanzeb Mirza , Jakub Micorek , Horst Possegger , Horst Bischof


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Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements



Franz Thaler , Christian Payer , Horst Bischof , Darko Stern


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FAST3D: Flow-Aware Self-Training for 3D Object Detectors



Christian Fruhwirth-Reisinger , Michael Opitz , Horst Possegger , Horst Bischof

* Accepted to BMVC 2021 

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Robustness of Object Detectors in Degrading Weather Conditions



Muhammad Jehanzeb Mirza , Cornelius Buerkle , Julio Jarquin , Michael Opitz , Fabian Oboril , Kay-Ulrich Scholl , Horst Bischof

* Accepted for publication at ITSC 2021 

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FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data



Georg Krispel , Michael Opitz , Georg Waltner , Horst Possegger , Horst Bischof

* Accepted for publication in WACV 2020 

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