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Cross-Cultural Behavior Analysis of Street-Crossing Pedestrians in Japan and Germany.

, , , , , и . IV, стр. 1-7. IEEE, (2023)

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Richard Janissen

Biomolecular based nano-manipulation with a combined atomic force microscope and single molecule fluorescence setup. Uni Düsseldorf, (2009)

Janis Mink

Janis Liebsch

Janis Jaunzems

Janis Augsburger

 

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Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data., , , , , , и . Symposium on Computer Animation (Posters), стр. 5-6. Eurographics Association, (2018)Adaptive gaussian mixture trajectory model for physical model control using motion capture data., , , , , , и . I3D, стр. 12:1-12:8. ACM, (2019)Toward a Methodology for Training with Synthetic Data on the Example of Pedestrian Detection in a Frame-by-Frame Semantic Segmentation Task., , и . SEFAIAS@ICSE, стр. 31-34. ACM, (2018)Natural Posture Blending Using Deep Neural Networks., , , и . MIG, стр. 2:1-2:6. ACM, (2019)Capturing Subtle Motion Differences of Pedestrian Street Crossings., , , , и . CASA, стр. 29-32. ACM, (2019)Motion Data and Model Management for Applied Statistical Motion Synthesis., , , , , , , , , и 2 other автор(ы). STAG, стр. 79-88. Eurographics Association, (2019)Pedestrian Behavior in Japan and Germany: A Review., , , , и . IV, стр. 1529-1536. IEEE, (2021)Cross-Cultural Behavior Analysis of Street-Crossing Pedestrians in Japan and Germany., , , , , и . IV, стр. 1-7. IEEE, (2023)Agent-based Web Supported Simulation of Human-robot Collaboration., , , , , , и . WEBIST, стр. 88-99. ScitePress, (2019)Stylistic Locomotion Modeling and Synthesis using Variational Generative Models., , , , и . MIG, стр. 32:1-32:10. ACM, (2019)