385 citations · 1.1k across the 14 of their papers we have counts for
Showing 2015Show all
3 papers · 1 filter
cs.CV2015★ 1 cited
Better Exploiting OS-CNNs for Better Event Recognition in Images
Limin Wang, Zhe Wang, Sheng Guo +1
Event recognition from still images is one of the most important problems for image understanding. However, compared with object recognition and scene recognition, event recognitio…
cs.CV2015★ 385 cited
Towards Good Practices for Very Deep Two-Stream ConvNets
Limin Wang, Yuanjun Xiong, Zhe Wang +1
Deep convolutional networks have achieved great success for object recognition in still images. However, for action recognition in videos, the improvement of deep convolutional net…
cs.CV2015★ 7 cited
Object-Scene Convolutional Neural Networks for Event Recognition in Images
Limin Wang, Zhe Wang, Wenbin Du +1
Event recognition from still images is of great importance for image understanding. However, compared with event recognition in videos, there are much fewer research works on event…