6 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 6 cited
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training
Weihong Zhong, Mao Zheng, Duyu Tang +4
Although large-scale video-language pre-training models, which usually build a global alignment between the video and the text, have achieved remarkable progress on various downstr…
cs.CV2022★ 2 cited
Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification
Shi Pu, Kaili Zhao, Mao Zheng
Most methods tackle zero-shot video classification by aligning visual-semantic representations within seen classes, which limits generalization to unseen classes. To enhance model…
cs.IR2020★ 1 cited
Multimodal Topic Learning for Video Recommendation
Shi Pu, Yijiang He, Zheng Li +1
Facilitated by deep neural networks, video recommendation systems have made significant advances. Existing video recommendation systems directly exploit features from different mod…