Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences von Petek, Kursat, Vodisch, Niclas, Meyer, Johannes, Cattaneo, Daniele, Valada, Abhinav, Burgard, Wolfram

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A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation von Vodisch, Niclas, Petek, Kursat, Kappeler, Markus, Valada, Abhinav, Burgard, Wolfram

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Efficient Robot Learning for Perception and Mapping von Vödisch, Niclas

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Efficient Robot Learning for Perception and Mapping von Vödisch, Niclas

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PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention von Arce, Jose, Vodisch, Niclas, Cattaneo, Daniele, Burgard, Wolfram, Valada, Abhinav

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A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation von Vödisch, Niclas, Petek, Kürsat, Käppeler, Markus, Valada, Abhinav, Burgard, Wolfram

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Collaborative Dynamic 3D Scene Graphs for Automated Driving von Greve, Elias, Büchner, Martin, Vödisch, Niclas, Burgard, Wolfram, Valada, Abhinav

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Few-Shot Panoptic Segmentation With Foundation Models von Käppeler, Markus, Petek, Kürsat, Vödisch, Niclas, Burgard, Wolfram, Valada, Abhinav

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FSOCO: The Formula Student Objects in Context Dataset von Vödisch, Niclas, Dodel, David, Schötz, Michael

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Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping Through Continual Learning von Vödisch, Niclas, Cattaneo, Daniele, Burgard, Wolfram, Valada, Abhinav

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End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization von Vodisch, Niclas, Unal, Ozan, Li, Ke, Van Gool, Luc, Dai, Dengxin

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CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation von Vödisch, Niclas, Petek, Kürsat, Burgard, Wolfram, Valada, Abhinav

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PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention von Arce, José, Vödisch, Niclas, Cattaneo, Daniele, Burgard, Wolfram, Valada, Abhinav

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CoVIO: Online Continual Learning for Visual-Inertial Odometry von Vödisch, Niclas, Cattaneo, Daniele, Burgard, Wolfram, Valada, Abhinav

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Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping Through Continual Learning von Vödisch, Niclas, Cattaneo, Daniele, Burgard, Wolfram, Valada, Abhinav

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Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences von Petek, Kürsat, Vödisch, Niclas, Meyer, Johannes, Cattaneo, Daniele, Valada, Abhinav, Burgard, Wolfram

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BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation von Schramm, Jonas, Vödisch, Niclas, Petek, Kürsat, Kiran, B Ravi, Yogamani, Senthil, Burgard, Wolfram, Valada, Abhinav

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End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization von Vödisch, Niclas, Unal, Ozan, Li, Ke, Luc Van Gool, Dai, Dengxin

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Deep Unsupervised Common Representation Learning for LiDAR and Camera Data using Double Siamese Networks von Bühler, Andreas, Vödisch, Niclas, Bürki, Mathias, Schaupp, Lukas

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METHOD FOR DETERMINING A BEAM CONFIGURATION OF A LIDAR SYSTEM von VÖDISCH, Niclas, VAN GOOL, Luc, ABBELOOS, Wim, LI, Ke, UNAL, Ozan, DAI, Dengxin

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