activity
20142023
most citedBeyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition

21 citations · 50 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 7 cited

PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification

Xuan Li, Yi-Ling Qiao, Peter Yichen Chen +4

Existing approaches to system identification (estimating the physical parameters of an object) from videos assume known object geometries. This precludes their applicability in a v…

cs.IR2016★ 1 cited

Strategies for Searching Video Content with Text Queries or Video Examples

Shoou-I Yu, Yi Yang, Zhongwen Xu +13

The large number of user-generated videos uploaded on to the Internet everyday has led to many commercial video search engines, which mainly rely on text metadata for search. Howev…

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…

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…