984 citations · 1.3k across the 27 of their papers we have counts for
6 papers · 1 filter
Improving Human Activity Recognition Through Ranking and Re-ranking
Zhenzhong Lan, Shoou-I Yu, Alexander G. Hauptmann
We propose two well-motivated ranking-based methods to enhance the performance of current state-of-the-art human activity recognition systems. First, as an improvement over the cla…
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…
Beyond Spatial Pyramid Matching: Space-time Extended Descriptor for Action Recognition
Zhenzhong Lan, Alexander G. Hauptmann
We address the problem of generating video features for action recognition. The spatial pyramid and its variants have been very popular feature models due to their success in balan…
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…
Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation
Zhiyong Cheng, Daniel Soudry, Zexi Mao +1
Compared to Multilayer Neural Networks with real weights, Binary Multilayer Neural Networks (BMNNs) can be implemented more efficiently on dedicated hardware. BMNNs have been demon…
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…