21 citations · 50 across the 6 of their papers we have counts for
Showing 2015Show all
3 papers · 1 filter
cs.CV2015★ 9 cited
Handcrafted Local Features are Convolutional Neural Networks
Zhenzhong Lan, Shoou-I Yu, Ming Lin +2
Image and video classification research has made great progress through the development of handcrafted local features and learning based features. These two architectures were prop…
cs.CV2015★ 6 cited
The Best of Both Worlds: Combining Data-independent and Data-driven Approaches for Action Recognition
Zhenzhong Lan, Dezhong Yao, Ming Lin +2
Motivated by the success of data-driven convolutional neural networks (CNNs) in object recognition on static images, researchers are working hard towards developing CNN equivalents…
cs.CV2015★ 6 cited
Long-short Term Motion Feature for Action Classification and Retrieval
Zhenzhong Lan, Xuanchong Li, Ming Lin +1
We propose a method for representing motion information for video classification and retrieval. We improve upon local descriptor based methods that have been among the most popular…