6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.MM2024
A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation Learning
Luis Vilaca, Yi Yu, Paula Vinan
Audio-visual correlation learning aims to capture and understand natural phenomena between audio and visual data. The rapid growth of Deep Learning propelled the development of pro…
eess.AS2023
Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset
Serkan Sulun, Pedro Oliveira, Paula Viana
We present a new large-scale emotion-labeled symbolic music dataset consisting of 12k MIDI songs. To create this dataset, we first trained emotion classification models on the GoEm…
cs.MM2022★ 6 cited
Recent Advances and Challenges in Deep Audio-Visual Correlation Learning
Luís Vilaça, Yi Yu, Paula Viana
Audio-visual correlation learning aims to capture essential correspondences and understand natural phenomena between audio and video. With the rapid growth of deep learning, an inc…