17 citations · 18 across the 4 of their papers we have counts for
4 papers
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
Kaicheng Yang, Jiankang Deng, Xiang An +5
Contrastive Language-Image Pre-training (CLIP) has significantly boosted the performance of various vision-language tasks by scaling up the dataset with image-text pairs collected…
Unicom: Universal and Compact Representation Learning for Image Retrieval
Xiang An, Jiankang Deng, Kaicheng Yang +5
Modern image retrieval methods typically rely on fine-tuning pre-trained encoders to extract image-level descriptors. However, the most widely used models are pre-trained on ImageN…
A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences
Kaicheng Yang, Ruxuan Zhang, Hua Xu +1
Inter-modal interaction plays an indispensable role in multimodal sentiment analysis. Due to different modalities sequences are usually non-alignment, how to integrate relevant inf…
Multi-Augmentation for Efficient Visual Representation Learning for Self-supervised Pre-training
Van-Nhiem Tran, Chi-En Huang, Shen-Hsuan Liu +3
In recent years, self-supervised learning has been studied to deal with the limitation of available labeled-dataset. Among the major components of self-supervised learning, the dat…