Area of research
Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Encoder, Transformer, Closed captioning, and Generalization.
MuMu-LLaMA: Multi-modal music understanding and generation via large language models
RecDCL: Dual Contrastive Learning for Recommendation
TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts
Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning
DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
All in One: Exploring Unified Video-Language Pre-Training
Improved Test-Time Adaptation for Domain Generalization
ACNet: Approaching-and-Centralizing Network for Zero-Shot Sketch-Based Image Retrieval
Object-aware Video-language Pre-training for Retrieval
RNA Modifications Meet Tumors
Prevalence and Determinants of COVID-19 Vaccination Uptake Were Different between Chinese Diabetic Inpatients with and without Chronic Complications: A Cross-Sectional Survey
Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization