7 citations · 12 across the 4 of their papers we have counts for
4 papers
Learning Explicit and Implicit Latent Common Spaces for Audio-Visual Cross-Modal Retrieval
Donghuo Zeng, Jianming Wu, Gen Hattori +2
Learning common subspace is prevalent way in cross-modal retrieval to solve the problem of data from different modalities having inconsistent distributions and representations that…
Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs
Tingtian Li, Zixun Sun, Haoruo Zhang +5
Recently, the witness of the rapidly growing popularity of short videos on different Internet platforms has intensified the need for a background music (BGM) retrieval system. Howe…
Personalized Music Recommendation with Triplet Network
Haoting Liang, Donghuo Zeng, Yi Yu +1
Since many online music services emerged in recent years so that effective music recommendation systems are desirable. Some common problems in recommendation system like feature re…
Towards Deep Modeling of Music Semantics using EEG Regularizers
Francisco Raposo, David Martins de Matos, Ricardo Ribeiro +2
Modeling of music audio semantics has been previously tackled through learning of mappings from audio data to high-level tags or latent unsupervised spaces. The resulting semantic…