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Lukas Fischer

3 accepted papers

2025

Audio Description Generation in the Era of LLMs and VLMs: A Review of Transferable Generative AI Technologies

NAACL 2025findings

Audio descriptions (ADs) function as acoustic commentaries designed to assist blind persons and persons with visual impairments in accessing digital media content on television and in movies, among other settings. As an accessibility service typically provided by trained AD professionals, the genera…

Cited by 2SourcePDFScholar
2025

SwissADT: An Audio Description Translation System for Swiss Languages

NAACL 2025industry

Audio description (AD) is a crucial accessibility service provided to blind persons and persons with visual impairment, designed to convey visual information in acoustic form. Despite recent advancements in multilingual machine translation research, the lack of well-crafted and time-synchronized AD…

Cited by 3SourcePDFScholar
2024

On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint)

IJCAI 2024poster

Privacy-utility tradeoff remains as one of the fundamental issues of differentially private machine learning. This paper introduces a geometrically inspired kernel-based approach to mitigate the accuracy-loss issue in classification. In this approach, a representation of the affine hull of given dat…

Cited by 4SourcePDFScholar