132 citations · 195 across the 8 of their papers we have counts for
Showing 2016 · cs.CVShow all
3 papers · 2 filters
cs.CV2016
Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition
Zhe Wang, Limin Wang, Yali Wang +2
Traditional feature encoding scheme (e.g., Fisher vector) with local descriptors (e.g., SIFT) and recent convolutional neural networks (CNNs) are two classes of successful methods…
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…
cs.CV2016
Real-time Action Recognition with Enhanced Motion Vector CNNs
Bowen Zhang, Limin Wang, Zhe Wang +2
The deep two-stream architecture exhibited excellent performance on video based action recognition. The most computationally expensive step in this approach comes from the calculat…