30 citations · 42 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
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…
A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images Only
Björn Möller, Lucas Görnhardt, Tim Fingscheidt
Transformer architectures prominently lead single-image super-resolution (SISR) benchmarks, reconstructing high-resolution (HR) images from their low-resolution (LR) counterparts.…
Neural Kalman Filters for Acoustic Echo Cancellation
Ernst Seidel, Gerald Enzner, Pejman Mowlaee +1
Kalman filtering is a powerful approach to adaptive filtering for various problems in signal processing. The frequency-domain adaptive Kalman filter (FDKF), based on the concept of…