How Machine Perception Relates to Human Perception: Visual Saliency and Distance in a Frame-by-Frame Semantic Segmentation Task for Highly/Fully Automated Driving. - Nico Herbig 001; Frederik Wiehr; Atanas Poibrenski; Janis Sprenger; Christian Müller 014 (SEFAIAS@ICSE, 2018)

Toward a Methodology for Training with Synthetic Data on the Example of Pedestrian Detection in a Frame-by-Frame Semantic Segmentation Task. - Atanas Poibrenski; Janis Sprenger; Christian Müller 014 (SEFAIAS@ICSE, 2018)

Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data. - Noshaba Cheema; Somayeh Hosseini; Janis Sprenger; Erik Herrmann; Han Du; Klaus Fischer 001; Philipp Slusallek (Symposium on Computer Animation (Posters), 2018)

Capturing Subtle Motion Differences of Pedestrian Street Crossings. - Janis Sprenger; Helena Kilger; Christian Müller 014; Philipp Slusallek; Sarah Malone (CASA, 2019)

Motion Data and Model Management for Applied Statistical Motion Synthesis. - Erik Herrmann; Han Du; André Antakli; Dmitri Rubinstein; René Schubotz; Janis Sprenger; Somayeh Hosseini; Noshaba Cheema; Ingo Zinnikus; Martin Manns; Klaus Fischer 001; Philipp Slusallek (STAG, 2019)

Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks. - Noshaba Cheema; Somayeh Hosseini; Janis Sprenger; Erik Herrmann; Han Du; Klaus Fischer 001; Philipp Slusallek (Eurographics (Short Papers), 2019)

Stylistic Locomotion Modeling with Conditional Variational Autoencoder. - Han Du; Erik Herrmann; Janis Sprenger; Noshaba Cheema; Somayeh Hosseini; Klaus Fischer 001; Philipp Slusallek (Eurographics (Short Papers), 2019)

Stylistic Locomotion Modeling and Synthesis using Variational Generative Models. - Han Du; Erik Herrmann; Janis Sprenger; Klaus Fischer 001; Philipp Slusallek (MIG, 2019)

Natural Posture Blending Using Deep Neural Networks. - Felix Gaisbauer 001; Jannes Lehwald; Janis Sprenger; Enrico Rukzio (MIG, 2019)

Learning a Continuous Control of Motion Style from Natural Examples. - Janis Sprenger; Han Du; Noshaba Cheema; Erik Herrmann; Klaus Fischer 001; Philipp Slusallek (MIG, 2019)

Adaptive gaussian mixture trajectory model for physical model control using motion capture data. - Erik Herrmann; Han Du; Noshaba Cheema; Janis Sprenger; Somayeh Hosseini; Klaus Fischer 001; Philipp Slusallek (I3D, 2019)

Agent-based Web Supported Simulation of Human-robot Collaboration. - André Antakli; Torsten Spieldenner; Dmitri Rubinstein; Daniel Spieldenner; Erik Herrmann; Janis Sprenger; Ingo Zinnikus (WEBIST, 2019)

Pedestrian Behavior in Japan and Germany: A Review. - Lorena Hell; Janis Sprenger; Matthias Klusch; Yoshiyuki Kobayashi; Christian Müller 014 (IV, 2021)

Cross-Cultural Behavior Analysis of Street-Crossing Pedestrians in Japan and Germany. - Janis Sprenger; Lorena Hell; Matthias Klusch; Yoshiyuki Kobayashi; Shoma Kudo; Christian Müller 014 (IV, 2023)

Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings. - Chi Zhang 040; Janis Sprenger; Zhongjun Ni; Christian Berger 001 (IV, 2024)

Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights into Model Transferability. - Chi Zhang 040; Janis Sprenger; Zhongjun Ni; Christian Berger 001 (CoRR, 2024)

The MOSIM Framework: Simulating Smart Workers in the Industrial Metaverse. - Janis Sprenger; André Antakli; Klaus Fischer 001 (ICPS, 2025)

Towards a Continuous Ergonomic Evaluation of Manual Workstations in the Digital Factory. - Janis Sprenger; Niklas Braun; Sven Reichardt; Björn Kellner (ICPS, 2025)

Simulating Body Movements for Multiple Agent Avoidance. - Ulan Akmatbekov; Janis Sprenger; Rui Xu; Philipp Slusallek (VR Workshops, 2025)