most citedDevelopment and evaluation of a deep learning algorithm for German word recognition from lip movements

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Assessing Quality of Experience in Natural Language Generation of German Text

Dinh Nam Pham, Shushen Manakhimova, Vivien Macketanz +1

The rapid advancement of Natural Language Generation (NLG) has made the reliable evaluation of generated text increasingly critical, as these systems, such as large language models…

cs.CV2026

MobileMold: A Smartphone-Based Microscopy Dataset for Food Mold Detection

Dinh Nam Pham, Leonard Prokisch, Bennet Meyer +1

Smartphone clip-on microscopes turn everyday devices into low-cost, portable imaging systems that can even reveal fungal structures at the microscopic level, enabling mold inspecti…

cs.CV2025★ 1 cited

The Importance of Facial Features in Vision-based Sign Language Recognition: Eyes, Mouth or Full Face?

Dinh Nam Pham, Eleftherios Avramidis

Non-manual facial features play a crucial role in sign language communication, yet their importance in automatic sign language recognition (ASLR) remains underexplored. While prior…

cs.CV2025

Transfer Learning from Visual Speech Recognition to Mouthing Recognition in German Sign Language

Dinh Nam Pham, Eleftherios Avramidis

Sign Language Recognition (SLR) systems primarily focus on manual gestures, but non-manual features such as mouth movements, specifically mouthing, provide valuable linguistic info…

cs.CV2025★ 3 cited

Development and evaluation of a deep learning algorithm for German word recognition from lip movements

Dinh Nam Pham, Torsten Rahne

When reading lips, many people benefit from additional visual information from the lip movements of the speaker, which is, however, very error prone. Algorithms for lip reading wit…