3 papers
eess.AS2026
Noise-Robust AV-ASR Using Visual Features Both in the Whisper Encoder and Decoder
Zhengyang Li, Thomas Graave, Björn Möller +3
In audiovisual automatic speech recognition (AV-ASR) systems, information fusion of visual features in a pre-trained ASR has been proven as a promising method to improve noise robu…
cs.CV2025
OpenViGA: Video Generation for Automotive Driving Scenes by Streamlining and Fine-Tuning Open Source Models with Public Data
Björn Möller, Zhengyang Li, Malte Stelzer +4
Recent successful video generation systems that predict and create realistic automotive driving scenes from short video inputs assign tokenization, future state prediction (world m…
cs.LG2025
Improving Block-Wise LLM Quantization by 4-bit Block-Wise Optimal Float (BOF4): Analysis and Variations
Patrick Blumenberg, Thomas Graave, Tim Fingscheidt
Large language models (LLMs) demand extensive memory capacity during both fine-tuning and inference. To enable memory-efficient fine-tuning, existing methods apply block-wise quant…