most citedTrimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Localization with Focus on ActivityNet Challenge 2019

8 citations · 8 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV2020

Long Short-Term Relation Networks for Video Action Detection

Dong Li, Ting Yao, Zhaofan Qiu +2

It has been well recognized that modeling human-object or object-object relations would be helpful for detection task. Nevertheless, the problem is not trivial especially when expl…

cs.CV2020

Feedback Graph Convolutional Network for Skeleton-based Action Recognition

Hao Yang, Dan Yan, Li Zhang +4

Skeleton-based action recognition has attracted considerable attention in computer vision since skeleton data is more robust to the dynamic circumstance and complicated background…

cs.IR2019

Spam Review Detection with Graph Convolutional Networks

Ao Li, Zhou Qin, Runshi Liu +2

Customers make a lot of reviews on online shopping websites every day, e.g., Amazon and Taobao. Reviews affect the buying decisions of customers, meanwhile, attract lots of spammer…

cs.CV2019

MVB: A Large-Scale Dataset for Baggage Re-Identification and Merged Siamese Networks

Zhulin Zhang, Dong Li, Jinhua Wu +2

In this paper, we present a novel dataset named MVB (Multi View Baggage) for baggage ReID task which has some essential differences from person ReID. The features of MVB are three-…

cs.CV20198 cited

Trimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Localization with Focus on ActivityNet Challenge 2019

Zhaofan Qiu, Dong Li, Yehao Li +3

This notebook paper presents an overview and comparative analysis of our systems designed for the following three tasks in ActivityNet Challenge 2019: trimmed action recognition, d…