4 citations · 6 across the 8 of their papers we have counts for
4 papers · 1 filter
Learning Joint Embedding for Cross-Modal Retrieval
Donghuo Zeng
A cross-modal retrieval process is to use a query in one modality to obtain relevant data in another modality. The challenging issue of cross-modal retrieval lies in bridging the h…
Audio-Visual Embedding for Cross-Modal MusicVideo Retrieval through Supervised Deep CCA
Donghuo Zeng, Yi Yu, Keizo Oyama
Deep learning has successfully shown excellent performance in learning joint representations between different data modalities. Unfortunately, little research focuses on cross-moda…
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…
Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-modal Retrieval
Donghuo Zeng, Yi Yu, Keizo Oyama
Cross-modal retrieval aims to retrieve data in one modality by a query in another modality, which has been a very interesting research issue in the field of multimedia, information…