1 citations · 1 across the 5 of their papers we have counts for
5 papers
MAE-GEBD:Winning the CVPR'2023 LOVEU-GEBD Challenge
Yuanxi Sun, Rui He, Youzeng Li +4
The Generic Event Boundary Detection (GEBD) task aims to build a model for segmenting videos into segments by detecting general event boundaries applicable to various classes. In t…
Friend Ranking in Online Games via Pre-training Edge Transformers
Liang Yao, Jiazhen Peng, Shenggong Ji +4
Friend recall is an important way to improve Daily Active Users (DAU) in online games. The problem is to generate a proper lost friend ranking list essentially. Traditional friend…
Masked Autoencoders for Generic Event Boundary Detection CVPR'2022 Kinetics-GEBD Challenge
Rui He, Yuanxi Sun, Youzeng Li +4
Generic Event Boundary Detection (GEBD) tasks aim at detecting generic, taxonomy-free event boundaries that segment a whole video into chunks. In this paper, we apply Masked Autoen…
GRAND+: Scalable Graph Random Neural Networks
Wenzheng Feng, Yuxiao Dong, Tinglin Huang +4
Graph neural networks (GNNs) have been widely adopted for semi-supervised learning on graphs. A recent study shows that the graph random neural network (GRAND) model can generate s…
SCR: Training Graph Neural Networks with Consistency Regularization
Chenhui Zhang, Yufei He, Yukuo Cen +7
We present the SCR framework for enhancing the training of graph neural networks (GNNs) with consistency regularization. Regularization is a set of strategies used in Machine Learn…