21 citations · 33 across the 3 of their papers we have counts for
3 papers
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…
cs.CV2014★ 21 cited
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition
Zhenzhong Lan, Ming Lin, Xuanchong Li +2
Most state-of-the-art action feature extractors involve differential operators, which act as highpass filters and tend to attenuate low frequency action information. This attenuati…