4 papers
Semi-Supervised Contrastive Learning for Controllable Video-to-Music Retrieval
Shanti Stewart, Gouthaman KV, Lie Lu +1
Content creators often use music to enhance their videos, from soundtracks in movies to background music in video blogs and social media content. However, identifying the best musi…
Emotion-Aligned Contrastive Learning Between Images and Music
Shanti Stewart, Kleanthis Avramidis, Tiantian Feng +1
Traditional music search engines rely on retrieval methods that match natural language queries with music metadata. There have been increasing efforts to expand retrieval methods t…
On the Role of Visual Context in Enriching Music Representations
Kleanthis Avramidis, Shanti Stewart, Shrikanth Narayanan
Human perception and experience of music is highly context-dependent. Contextual variability contributes to differences in how we interpret and interact with music, challenging the…
Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP
Stefan Larson, Navtej Singh, Saarthak Maheshwari +2
To be robust enough for widespread adoption, document analysis systems involving machine learning models must be able to respond correctly to inputs that fall outside of the data d…