Julia Wilkins — accepted AI-conference papers

2026

Controllable Embedding Transformation for Mood-Guided Music Retrieval

Julia Wilkins, Jaehun Kim, Juan Pablo Bello, Matthew C. McCallum

ICASSP 2026poster

Music representations are the backbone of modern recommendation systems, powering playlist generation, similarity search, and personalized discovery. Yet most embeddings offer little control for adjusting a single musical attribute, e.g., changing only the mood of a track while preserving its genre…

Cited by 1 Source ↗PDF ↗Scholar ↗

2022

Urban Sound & Sight: Dataset And Benchmark For Audio-Visual Urban Scene Understanding

Magdalena Fuentes, Bea Steers, Pablo Zinemanas, Martín Rocamora, Luca Bondi, Julia Wilkins +5

ICASSP 2022accepted

Automatic audio-visual urban traffic understanding is a growing area of research with many potential applications of value to industry, academia, and the public sector. Yet, the lack of well-curated resources for training and evaluating models to research in this area hinders their development. To a…

Cited by 16 Source ↗Scholar ↗