30 citations · 45 across the 4 of their papers we have counts for
4 papers
Task-Specific Prompt with Global Context for Multi-Task Graph Pre-Training
Zhiyang Qiu, Yangtao Wang, Xiaocui Li +3
Graph prompt learning is an effective paradigm to adapt pre-trained graph models to downstream tasks in low-resource scenarios. However, existing multi-task graph pre-training fram…
Contrastive masked auto-encoders based self-supervised hashing for 2D image and 3D point cloud cross-modal retrieval
Rukai Wei, Heng Cui, Yu Liu +3
Implementing cross-modal hashing between 2D images and 3D point-cloud data is a growing concern in real-world retrieval systems. Simply applying existing cross-modal approaches to…
CHAIN: Exploring Global-Local Spatio-Temporal Information for Improved Self-Supervised Video Hashing
Rukai Wei, Yu Liu, Jingkuan Song +3
Compressing videos into binary codes can improve retrieval speed and reduce storage overhead. However, learning accurate hash codes for video retrieval can be challenging due to hi…
Hyperbolic Hierarchical Contrastive Hashing
Rukai Wei, Yu Liu, Jingkuan Song +2
Hierarchical semantic structures, naturally existing in real-world datasets, can assist in capturing the latent distribution of data to learn robust hash codes for retrieval system…