4 papers
AudioWorldSim: Realistic Binaural Audio Datasets For World Models
Luis Vitor Zerkowski, Luiz Velho
This technical report presents AudioWorldSim, an open-source platform designed to generate realistic binaural audio datasets and advance research in audio-based machine learning, p…
Uncovering Latent Connections in Indigenous Heritage: Semantic Pipelines for Cultural Preservation in Brazil
Luis Vitor Zerkowski, Nina S. T. Hirata
Indigenous communities face ongoing challenges in preserving their cultural heritage, particularly in the face of systemic marginalization and urban development. In Brazil, the Mus…
Dyads: Artist-Centric, AI-Generated Dance Duets
Zixuan Wang, Luis Zerkowski, Ilya Vidrin +1
Existing AI-generated dance methods primarily train on motion capture data from solo dance performances, but a critical feature of dance in nearly any genre is the interaction of t…
Invisible Strings: Revealing Latent Dancer-to-Dancer Interactions with Graph Neural Networks
Luis Vitor Zerkowski, Zixuan Wang, Ilya Vidrin +1
Dancing in a duet often requires a heightened attunement to one's partner: their orientation in space, their momentum, and the forces they exert on you. Dance artists who work in p…