9 citations · 13 across the 5 of their papers we have counts for
5 papers
Line Graph Contrastive Learning for Link Prediction
Zehua Zhang, Shilin Sun, Guixiang Ma +1
Link prediction tasks focus on predicting possible future connections. Most existing researches measure the likelihood of links by different similarity scores on node pairs and pre…
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning
Zehua Zhang, David Crandall
We present a novel technique for self-supervised video representation learning by: (a) decoupling the learning objective into two contrastive subtasks respectively emphasizing spat…
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
Hu Liu, Jing Lu, Xiwei Zhao +8
Click-through rate (CTR) prediction is one of the fundamental tasks for e-commerce search engines. As search becomes more personalized, it is necessary to capture the user interest…
Interaction Graphs for Object Importance Estimation in On-road Driving Videos
Zehua Zhang, Ashish Tawari, Sujitha Martin +1
A vehicle driving along the road is surrounded by many objects, but only a small subset of them influence the driver's decisions and actions. Learning to estimate the importance of…
A Self Validation Network for Object-Level Human Attention Estimation
Zehua Zhang, Chen Yu, David Crandall
Due to the foveated nature of the human vision system, people can focus their visual attention on a small region of their visual field at a time, which usually contains only a sing…