Segmenting Computer-Tomographic Scans of Ancient Clay Artefacts for Visual Analysis of Cuneiform Inscriptions. - Tim Rolff; Marc Rautenhaus; Stephan Olbrich; Simone Frintrop (VMV, 2020)

GazeTransformer: Gaze Forecasting for Virtual Reality Using Transformer Networks. - Tim Rolff; Harm Matthias Harms; Frank Steinicke; Simone Frintrop (GCPR, 2022)

When do Saccades begin? Prediction of Saccades as a Time-to-Event Problem. - Tim Rolff; Frank Steinicke; Simone Frintrop (ETRA, 2022)

Immersive Neural Graphics Primitives. - Ke Li; Tim Rolff; Susanne Schmidt 001; Reinhard Bacher; Simone Frintrop; Wim Leemans; Frank Steinicke (CoRR, 2022)

Gaze Mapping for Immersive Virtual Environments Based on Image Retrieval. - Tim Rolff; Frank Steinicke; Simone Frintrop (Frontiers Virtual Real., 2022)

Interacting with Neural Radiance Fields in Immersive Virtual Reality. - Ke Li; Tim Rolff; Susanne Schmidt 001; Reinhard Bacher; Wim Leemans; Frank Steinicke (CHI Extended Abstracts, 2023)

A Deep Learning Architecture for Egocentric Time-to-Saccade Prediction using Weibull Mixture-Models and Historic Priors. - Tim Rolff; Susanne Schmidt 001; Frank Steinicke; Simone Frintrop (ETRA, 2023)

Discussion and recommendations from the 2023 "Gaze Meets ML" workshop breakout session. - Alexandros Karargyris; Shuaib Ahmed; Ryan Anthony J. de Belen; Bonny Banerjee; Timur Ibrayev; Satyananda Kashyap; Elizabeth A. Krupinski; Chenyi Kuang; Paul Madu; Amarachi Madu; Silvia Makowski; Athul Mathew; et al. (Gaze Meets ML, 2023)

RealityGit: Cross Reality Version Control of R&D Optical Workbench. - Ke Li; Tim Rolff; Reinhard Bacher; Frank Steinicke (ISMAR-Adjunct, 2023)

VRS-NeRF: Accelerating Neural Radiance Field Rendering with Variable Rate Shading. - Tim Rolff; Susanne Schmidt 001; Ke Li; Frank Steinicke; Simone Frintrop (ISMAR, 2023)

Interactive VRS-NeRF: Lightning fast Neural Radiance Field Rendering for Virtual Reality. - Tim Rolff; Ke Li; Julia Hertel; Susanne Schmidt 001; Simone Frintrop; Frank Steinicke (SUI, 2023)

Bringing Instant Neural Graphics Primitives to Immersive Virtual Reality. - Ke Li; Tim Rolff; Susanne Schmidt 001; Reinhard Bacher; Simone Frintrop; Wim Leemans; Frank Steinicke (VR Workshops, 2023)

High-Level Features Parallelization for Inference Cost Reduction Through Selective Attention. - André Peter Kelm; Lucas Schmidt; Tim Rolff; Christian Wilms; Ehsan Yaghoubi; Simone Frintrop (CoRR, 2023)

SOS: Segment Object System for Open-World Instance Segmentation with Object Priors. - Christian Wilms; Tim Rolff; Maris Hillemann; Robert Johanson; Simone Frintrop (ECCV (27), 2024)

Dynamic Inference and Top-down Attention in a Hierarchical Classification Network. - André Peter Kelm; Niels Hannemann; Bruno Heberle; Lucas Schmidt; Tim Rolff; Christian Wilms; Ehsan Yaghoubi; Simone Frintrop (ICPR (8), 2024)

Natural Expression of a Machine Learning Model's Uncertainty Through Verbal and Non-Verbal Behavior of Intelligent Virtual Agents. - Susanne Schmidt 001; Tim Rolff; Henrik Voigt; Micha Offe; Frank Steinicke (UIST, 2024)

Interactive Data Fusion of Neural Radiance Fields for Industrial Facility Inspection in Virtual Reality. - Ke Li; Susanne Schmidt 001; Tim Rolff; Reinhard Bacher; Wim Leemans; Frank Steinicke (VR Workshops, 2024)

Select High-Level Features: Efficient Experts from a Hierarchical Classification Network. - André Peter Kelm; Niels Hannemann; Bruno Heberle; Lucas Schmidt; Tim Rolff; Christian Wilms; Ehsan Yaghoubi; Simone Frintrop (CoRR, 2024)

A Toolkit for Virtual Reality Data Collection. - Tim Rolff; Niklas Hypki; Markus Lappe; Frank Steinicke (CoRR, 2024)

Magic NeRF lens: interactive fusion of neural radiance fields for virtual facility inspection. - Ke Li; Susanne Schmidt 001; Tim Rolff; Reinhard Bacher; Wim Leemans; Frank Steinicke (Frontiers Virtual Real., 2024)

A Hands-free Spatial Selection and Interaction Technique using Gaze and Blink Input with Blink Prediction for Extended Reality. - Tim Rolff; Jenny Gabel; Lauren Zerbin; Niklas Hypki; Susanne Schmidt 001; Markus Lappe; Frank Steinicke (CoRR, 2025)