3 citations · 3 across the 3 of their papers we have counts for
8 papers
Tragic Talkers: A Shakespearean Sound- and Light-Field Dataset for Audio-Visual Machine Learning Research
Davide Berghi, Marco Volino, Philip J. B. Jackson
3D audio-visual production aims to deliver immersive and interactive experiences to the consumer. Yet, faithfully reproducing real-world 3D scenes remains a challenging task. This…
Super-Resolution Appearance Transfer for 4D Human Performances
Marco Pesavento, Marco Volino, Adrian Hilton
A common problem in the 4D reconstruction of people from multi-view video is the quality of the captured dynamic texture appearance which depends on both the camera resolution and…
Attention-based Multi-Reference Learning for Image Super-Resolution
Marco Pesavento, Marco Volino, Adrian Hilton
This paper proposes a novel Attention-based Multi-Reference Super-resolution network (AMRSR) that, given a low-resolution image, learns to adaptively transfer the most similar text…
Naturalistic audio-visual volumetric sequences dataset of sounding actions for six degree-of-freedom interaction
Hanne Stenzel, Davide Berghi, Marco Volino +1
As audio-visual systems increasingly bring immersive and interactive capabilities into our work and leisure activities, so the need for naturalistic test material grows. New volume…
Audio-Visual Spatial Aligment Requirements of Central and Peripheral Object Events
Davide Berghi, Hanne Stenzel, Marco Volino +2
Immersive audio-visual perception relies on the spatial integration of both auditory and visual information which are heterogeneous sensing modalities with different fields of rece…
Temporally Coherent General Dynamic Scene Reconstruction
Armin Mustafa, Marco Volino, Hansung Kim +2
Existing techniques for dynamic scene reconstruction from multiple wide-baseline cameras primarily focus on reconstruction in controlled environments, with fixed calibrated cameras…