7 citations · 7 across the 8 of their papers we have counts for
9 papers
TRUDI and TITUS: A Multi-Perspective Dataset and A Three-Stage Recognition System for Transportation Unit Identification
Emre Gülsoylu, André Kelm, Lennart Bengtson +5
Identifying transportation units (TUs) is essential for improving the efficiency of port logistics. However, progress in this field has been hindered by the lack of publicly availa…
Tokenization of Gaze Data
Tim Rolff, Jurik Karimian, Niklas Hypki +3
A considerable part of the performance of today's large language models (LLM's) and multimodal large language models (MLLM's) depends on their tokenization strategies. While tokeni…
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 +4
Gaze-based interaction techniques have created significant interest in the field of spatial interaction. Many of these methods require additional input modalities, such as hand ges…
A Toolkit for Virtual Reality Data Collection
Tim Rolff, Niklas Hypki, Markus Lappe +1
Due to the still relatively low number of users, acquiring large-scale and multidimensional virtual reality datasets remains a significant challenge. Consequently, VR datasets comp…
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors
Christian Wilms, Tim Rolff, Maris Hillemann +2
We propose an approach for Open-World Instance Segmentation (OWIS), a task that aims to segment arbitrary unknown objects in images by generalizing from a limited set of annotated…
Select High-Level Features: Efficient Experts from a Hierarchical Classification Network
André Kelm, Niels Hannemann, Bruno Heberle +5
This study introduces a novel expert generation method that dynamically reduces task and computational complexity without compromising predictive performance. It is based on a new…
High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention
André Peter Kelm, Niels Hannemann, Bruno Heberle +5
This paper introduces a novel network topology that seamlessly integrates dynamic inference cost with a top-down attention mechanism, addressing two significant gaps in traditional…
Magic NeRF Lens: Interactive Fusion of Neural Radiance Fields for Virtual Facility Inspection
Ke Li, Susanne Schmidt, Tim Rolff +3
Large industrial facilities such as particle accelerators and nuclear power plants are critical infrastructures for scientific research and industrial processes. These facilities a…
Immersive Neural Graphics Primitives
Ke Li, Tim Rolff, Susanne Schmidt +4
Neural radiance field (NeRF), in particular its extension by instant neural graphics primitives, is a novel rendering method for view synthesis that uses real-world images to build…