15 citations · 22 across the 4 of their papers we have counts for
7 papers
Conditional Hybrid GAN for Sequence Generation
Yi Yu, Abhishek Srivastava, Rajiv Ratn Shah
Conditional sequence generation aims to instruct the generation procedure by conditioning the model with additional context information, which is a self-supervised learning issue (…
PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability
Dikshant Sagar, Jatin Garg, Prarthana Kansal +3
Fashion is an important part of human experience. Events such as interviews, meetings, marriages, etc. are often based on clothing styles. The rise in the fashion industry and its…
Unsupervised Generative Adversarial Alignment Representation for Sheet music, Audio and Lyrics
Donghuo Zeng, Yi Yu, Keizo Oyama
Sheet music, audio, and lyrics are three main modalities during writing a song. In this paper, we propose an unsupervised generative adversarial alignment representation (UGAAR) mo…
End-to-end Named Entity Recognition from English Speech
Hemant Yadav, Sreyan Ghosh, Yi Yu +1
Named entity recognition (NER) from text has been a widely studied problem and usually extracts semantic information from text. Until now, NER from speech is mostly studied in a tw…
Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions
Osaid Rehman Nasir, Shailesh Kumar Jha, Manraj Singh Grover +3
Powerful generative adversarial networks (GAN) have been developed to automatically synthesize realistic images from text. However, most existing tasks are limited to generating si…
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…