Tim Rolff

2024

• André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop: Dynamic Inference and Top-down Attention in a Hierarchical Classification Network, 27th International Conference on Pattern Recognition (ICPR 2024), Kolkata, India, 2024,[arxiv]
• Christian Wilms, Tim Rolff, Maris Hillemann, Robert Johanson, Simone Frintrop: SOS: Segment Object System for Open-World Instance Segmentation With Object Priors, European Conference on Computer Vision (ECCV), 2024, [PDF], [arxiv], [supp. mat.], [code], [video], [poster]
• André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop: Select High-Level Features: Efficient Experts from a Hierarchical Classification Network, 5th Workshop on practical ML for limited/low resource settings (PML4LRS) at ICLR 2024, [arxiv], [PDF]

2023

• Tim Rolff, Susanne Schmidt, Ke Li, Frank Steinicke, Simone Frintrop: VRS-NeRF: Accelerating Neural Radiance Field Rendering with Variable Rate Shading, 22nd IEEE International Symposium on Mixed and Augmented Reality (ISMAR), October 16 - 20, 2023, Sydney NSW, [PDF], [supplementary]
• André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop: High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention, arXiv:2308.05128, 2023, [arXiv], [PDF]
• Tim Rolff, Susanne Schmidt, Frank Steinicke, Simone Frintrop: A Deep Learning Architecture for Egocentric Time-to-Saccade Prediction using Weibull Mixture-Models and Historic Priors, Symposium on Eye Tracking Research and Applications (ETRA ’23), May 30–June 02, 2023, Tubingen, Germany. ACM, New York, NY, USA, 8 pages, [doi], [PDF]
• Ke Li, Tim Rolff, Susanne Schmidt, Reinhard Bacher, Wim Leemans, and Frank Steinicke: Interacting with Neural Radiance Fields in Immersive Virtual Reality. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA '23), April 23–28, 2023, Hamburg, Germany. ACM, New York, NY, USA. [doi]

2022

• Tim Rolff, H. Matthias Harms, Frank Steinicke, Simone Frintrop: GazeTransformer: Gaze Forecasting for Virtual Reality Using Transformer Networks, Pattern Recognition. DAGM GCPR 2022, Lecture Notes in Computer Science, vol 13485. Springer, [PDF]
• Tim Rolff, Niklas Stein, Markus Lappe, Frank Steinicke, Simone Frintrop: Metrics for Time-to-Event Prediction of Gaze Events, NeurIPS 2022 Gaze Meets ML Workshop, [PDF]
• Ke Li*, Tim Rolff*, Susanne Schmidt, Reinhard Bacher, Simone Frintrop, Wim Leemans, Frank Steinicke, Immersive Neural Graphics Primitives, [arXiv] , [code], 2022, *Equal contribution
• Tim Rolff, Frank Steinicke, Simone Frintrop: Gaze Mapping for Immersive Virtual Environments Based on Image Retrieval, Frontiers in Virtual Reality, 2022, [PDF]
• Tim Rolff, Frank Steinicke, and Simone Frintrop: When do Saccades begin? Prediction of Saccades as a Time-to-Event Problem, ACM Symposium on Eye Tracking Research & Applications, 2022, [PDF]

2020

• Tim Rolff, Marc Rautenhaus, Stephan Olbrich, Simone Frintrop: Segmenting Computer-Tomographic Scans of Ancient Clay Artefacts for Visual Analysis of Cuneiform Inscriptions, In: Vision, Modeling, and Visualization, 2020, ISBN: 978-3-03868-123-6, DOI:10.2312/vmv.20201185, [PDF]