Publications (18)
Transparent AI Disclosure Obligations: Who, What, When, Where, Why, How
Abdallah El Ali, Karthikeya Puttur Venkatraj, Sophie Morosoli +3
Advances in Generative Artificial Intelligence (AI) are resulting in AI-generated media output that is (nearly) indistinguishable from human-created content. This can drastically i…
On the impact of VR assessment on the Quality of Experience of Highly Realistic Digital Humans
Irene Viola, Shishir Subramanyam, Jie Li +1
Fuelled by the increase in popularity of virtual and augmented reality applications, point clouds have emerged as a popular 3D format for acquisition and rendering of digital human…
Full Disclosure, Less Trust? How the Level of Detail about AI Use in News Writing Affects Readers' Trust
Pooja Prajod, Hannes Cools, Thomas Röggla +5
As artificial intelligence (AI) is increasingly integrated into news production, calls for transparency about the use of AI have gained considerable traction. Recent studies sugges…
LEGO Co-builder: Exploring Fine-Grained Vision-Language Modeling for Multimodal LEGO Assembly Assistants
Haochen Huang, Jiahuan Pei, Yue Su +11
Vision-language models (VLMs) are facing the challenges of understanding and following multimodal assembly instructions, particularly when fine-grained spatial reasoning and precis…
PointPCA: Point Cloud Objective Quality Assessment Using PCA-Based Descriptors
Evangelos Alexiou, Xuemei Zhou, Irene Viola +1
Point clouds denote a prominent solution for the representation of 3D photo-realistic content in immersive applications. Similarly to other imaging modalities, quality predictions…
PointPCA+: Extending PointPCA objective quality assessment metric
Xuemei Zhou, Evangelos Alexiou, Irene Viola +1
A computationally-simplified and descriptor-richer Point Cloud Quality Assessment (PCQA) metric, namely PointPCA+, is proposed in this paper, which is an extension of PointPCA. Poi…