3 citations · 4 across the 6 of their papers we have counts for
6 papers
PAT: Position-Aware Transformer for Dense Multi-Label Action Detection
Faegheh Sardari, Armin Mustafa, Philip J. B. Jackson +1
We present PAT, a transformer-based network that learns complex temporal co-occurrence action dependencies in a video by exploiting multi-scale temporal features. In existing metho…
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…
Visually Supervised Speaker Detection and Localization via Microphone Array
Davide Berghi, Adrian Hilton, Philip J. B. Jackson
Active speaker detection (ASD) is a multi-modal task that aims to identify who, if anyone, is speaking from a set of candidates. Current audio-visual approaches for ASD typically r…
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…
Object-Based Audio Rendering
Philip Jackson, Filippo Fazi, Frank Melchior +15
Apparatus and methods are disclosed for performing object-based audio rendering on a plurality of audio objects which define a sound scene, each audio object comprising at least on…