📝 Publications

👾 Multi-Modal

ICASSP 2024

CLIP Multi-modal Hashing: A new baseline CLIPMH
Jian Zhu, Mingkai Sheng, Mingda Ke, Zhangmin Huang, Jingfei Chang

Project

• CLIP Multi-modal Hashing: A new baseline.
• Academic Impact: Compared with state-of-the-art unsupervised and supervised multi-modal hashing methods, experiments reveal that the proposed CLIPMH can significantly enhance performance (Maximum increase of 8.38%).
• Industry Impact: ###.

• ICASSP 2024 CLIP Multi-modal Hashing: A new baseline CLIPMH, Jian Zhu, Mingkai Sheng, Mingda Ke, Zhangmin Huang, Jingfei Chang | Project |
• NeurIPS 2024 TODO, Mingkai Sheng |
• IJCAI 2024 (Oral) Title Name, Mingkai Sheng |

📚 Visual Question Answering

• ACL 2024 TODO, Mingkai Sheng |

🎼 Understanding Generation

• AAAI 2024 TODO, Mingkai Sheng |

🧑‍🎨 Generative Model

• ICLR 2024 TODO, Mingkai Sheng |

Others

• ACM-MM 2024 TODO, Mingkai Sheng |