most citedMathNet: A Data-Centric Approach for Printed Mathematical Expression Recognition

8 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Deep Learning-Powered Visual SLAM Aimed at Assisting Visually Impaired Navigation

Marziyeh Bamdad, Hans-Peter Hutter, Alireza Darvishy

Despite advancements in SLAM technologies, robust operation under challenging conditions such as low-texture, motion-blur, or challenging lighting remains an open challenge. Such c…

cs.CL2025★ 1 cited

Advancing STT for Low-Resource Real-World Speech

Flavio D'Intino, Hans-Peter Hutter

Swiss German is a low-resource language represented by diverse dialects that differ significantly from Standard German and from each other, lacking a standardized written form. As…

cs.HC2025★ 6 cited

Towards More Accessible Scientific PDFs for People with Visual Impairments: Step-by-Step PDF Remediation to Improve Tag Accuracy

Felix M. Schmitt-Koopmann, Elaine M. Huang, Hans-Peter Hutter +1

PDF inaccessibility is an ongoing challenge that hinders individuals with visual impairments from reading and navigating PDFs using screen readers. This paper presents a step-by-st…

cs.RO2024★ 1 cited

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation

Marziyeh Bamdad, Hans-Peter Hutter, Alireza Darvishy

Simultaneous localization and mapping (SLAM) techniques can be used to navigate the visually impaired, but the development of robust SLAM solutions for crowded spaces is limited by…

cs.CV2024★ 8 cited

MathNet: A Data-Centric Approach for Printed Mathematical Expression Recognition

Felix M. Schmitt-Koopmann, Elaine M. Huang, Hans-Peter Hutter +2

Printed mathematical expression recognition (MER) models are usually trained and tested using LaTeX-generated mathematical expressions (MEs) as input and the LaTeX source code as g…