activity
20142022
most citedSpatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

602 citations · 2.6k across the 37 of their papers we have counts for

collaborators
Showing 2017Show all

5 papers · 1 filter

cs.CV2017★ 115 cited

Face Detection through Scale-Friendly Deep Convolutional Networks

Shuo Yang, Yuanjun Xiong, Chen Change Loy +1

In this paper, we share our experience in designing a convolutional network-based face detector that could handle faces of an extremely wide range of scales. We show that faces wit…

cs.CV2017★ 51 cited

Temporal Segment Networks for Action Recognition in Videos

Limin Wang, Yuanjun Xiong, Zhe Wang +4

Deep convolutional networks have achieved great success for image recognition. However, for action recognition in videos, their advantage over traditional methods is not so evident…

cs.CV2017★ 141 cited

Temporal Action Detection with Structured Segment Networks

Yue Zhao, Yuanjun Xiong, Limin Wang +3

Detecting actions in untrimmed videos is an important yet challenging task. In this paper, we present the structured segment network (SSN), a novel framework which models the tempo…

cs.CV2017★ 132 cited

A Pursuit of Temporal Accuracy in General Activity Detection

Yuanjun Xiong, Yue Zhao, Limin Wang +2

Detecting activities in untrimmed videos is an important but challenging task. The performance of existing methods remains unsatisfactory, e.g., they often meet difficulties in loc…

cs.CV2017★ 31 cited

UntrimmedNets for Weakly Supervised Action Recognition and Detection

Limin Wang, Yuanjun Xiong, Dahua Lin +1

Current action recognition methods heavily rely on trimmed videos for model training. However, it is expensive and time-consuming to acquire a large-scale trimmed video dataset. Th…