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ORCIDJanis Sprenger
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2020 – today
- 2024
[c15]Chi Zhang, Janis Sprenger, Zhongjun Ni, Christian Berger:
Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings. IV 2024: 674-681- [i3]Chi Zhang, Janis Sprenger, Zhongjun Ni, Christian Berger:
Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings. CoRR abs/2404.09574 (2024) - 2023
- [c14]Janis Sprenger, Lorena Hell, Matthias Klusch, Yoshiyuki Kobayashi, Shoma Kudo
, Christian Müller:
Cross-Cultural Behavior Analysis of Street-Crossing Pedestrians in Japan and Germany. IV 2023: 1-7 - 2021
- [c13]Lorena Hell, Janis Sprenger, Matthias Klusch, Yoshiyuki Kobayashi, Christian Müller:
Pedestrian Behavior in Japan and Germany: A Review. IV 2021: 1529-1536
2010 – 2019
- 2019
- [c12]Janis Sprenger, Helena Kilger, Christian Müller, Philipp Slusallek, Sarah Malone:
Capturing Subtle Motion Differences of Pedestrian Street Crossings. CASA 2019: 29-32 - [c11]Erik Herrmann, Han Du, André Antakli, Dmitri Rubinstein, René Schubotz, Janis Sprenger, Somayeh Hosseini, Noshaba Cheema, Ingo Zinnikus, Martin Manns, Klaus Fischer, Philipp Slusallek:
Motion Data and Model Management for Applied Statistical Motion Synthesis. STAG 2019: 79-88 - [c10]Han Du, Erik Herrmann, Janis Sprenger, Noshaba Cheema, Somayeh Hosseini, Klaus Fischer, Philipp Slusallek:
Stylistic Locomotion Modeling with Conditional Variational Autoencoder. Eurographics (Short Papers) 2019: 9-12 - [c9]Noshaba Cheema, Somayeh Hosseini, Janis Sprenger, Erik Herrmann, Han Du, Klaus Fischer, Philipp Slusallek:
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks. Eurographics (Short Papers) 2019: 69-72 - [c8]Felix Gaisbauer, Jannes Lehwald, Janis Sprenger, Enrico Rukzio:
Natural Posture Blending Using Deep Neural Networks. MIG 2019: 2:1-2:6 - [c7]Janis Sprenger, Han Du, Noshaba Cheema, Erik Herrmann, Klaus Fischer, Philipp Slusallek:
Learning a Continuous Control of Motion Style from Natural Examples. MIG 2019: 31:1-31:10 - [c6]Han Du, Erik Herrmann, Janis Sprenger, Klaus Fischer, Philipp Slusallek:
Stylistic Locomotion Modeling and Synthesis using Variational Generative Models. MIG 2019: 32:1-32:10 - [c5]Erik Herrmann, Han Du, Noshaba Cheema, Janis Sprenger, Somayeh Hosseini, Klaus Fischer, Philipp Slusallek:
Adaptive gaussian mixture trajectory model for physical model control using motion capture data. I3D 2019: 12:1-12:8 - [c4]André Antakli, Torsten Spieldenner, Dmitri Rubinstein, Daniel Spieldenner, Erik Herrmann, Janis Sprenger, Ingo Zinnikus:
Agent-based Web Supported Simulation of Human-robot Collaboration. WEBIST 2019: 88-99 - [i2]Noshaba Cheema, Somayeh Hosseini, Janis Sprenger, Erik Herrmann, Han Du, Klaus Fischer, Philipp Slusallek:
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks. CoRR abs/1903.00695 (2019) - 2018
- [c3]Nico Herbig, Frederik Wiehr, Atanas Poibrenski, Janis Sprenger, Christian Müller:
How Machine Perception Relates to Human Perception: Visual Saliency and Distance in a Frame-by-Frame Semantic Segmentation Task for Highly/Fully Automated Driving. SEFAIAS@ICSE 2018: 6-10 - [c2]Atanas Poibrenski, Janis Sprenger, Christian Müller:
Toward a Methodology for Training with Synthetic Data on the Example of Pedestrian Detection in a Frame-by-Frame Semantic Segmentation Task. SEFAIAS@ICSE 2018: 31-34 - [c1]Noshaba Cheema, Somayeh Hosseini, Janis Sprenger, Erik Herrmann, Han Du, Klaus Fischer, Philipp Slusallek:
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data. Symposium on Computer Animation (Posters) 2018: 5-6 - [i1]Noshaba Cheema, Somayeh Hosseini, Janis Sprenger, Erik Herrmann, Han Du, Klaus Fischer, Philipp Slusallek:
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data. CoRR abs/1806.09174 (2018)
Coauthor Index
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