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cs.CV2019★ 51 cited
Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition
Yang Liu, Zhaoyang Lu, Jing Li +2
Existing deep learning methods for action recognition in videos require a large number of labeled videos for training, which is labor-intensive and time-consuming. For the same act…
cs.CV2019
Global Temporal Representation based CNNs for Infrared Action Recognition
Yang Liu, Zhaoyang Lu, Jing Li +2
Infrared human action recognition has many advantages, i.e., it is insensitive to illumination change, appearance variability, and shadows. Existing methods for infrared action rec…
cs.CV2018
Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition
Yang Liu, Zhaoyang Lu, Jing Li +1
Recognizing human actions from varied views is challenging due to huge appearance variations in different views. The key to this problem is to learn discriminant view-invariant rep…