289 citations · 424 across the 4 of their papers we have counts for
3 papers
cs.CV2016★ 3 cited
Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images
Limin Wang, Zhe Wang, Yu Qiao +1
Event recognition in still images is an intriguing problem and has potential for real applications. This paper addresses the problem of event recognition by proposing a convolution…
cs.CV2016★ 289 cited
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
Limin Wang, Yuanjun Xiong, Zhe Wang +4
Deep convolutional networks have achieved great success for visual recognition in still images. However, for action recognition in videos, the advantage over traditional methods is…
cs.CV2016★ 132 cited
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016
Yuanjun Xiong, Limin Wang, Zhe Wang +7
This paper presents the method that underlies our submission to the untrimmed video classification task of ActivityNet Challenge 2016. We follow the basic pipeline of temporal segm…