activity
20172021
most citedHierarchically Learned View-Invariant Representations for Cross-View Action Recognition

56 citations · 120 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2021

Efficient Online Transfer Learning for 3D Object Classification in Autonomous Driving

Rui Yang, Zhi Yan, Tao Yang +1

Autonomous driving has achieved rapid development over the last few decades, including the machine perception as an important issue of it. Although object detection based on conven…

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★ 56 cited

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…

cs.LG2017★ 13 cited

Disentangled Variational Auto-Encoder for Semi-supervised Learning

Yang Li, Quan Pan, Suhang Wang +3

Semi-supervised learning is attracting increasing attention due to the fact that datasets of many domains lack enough labeled data. Variational Auto-Encoder (VAE), in particular, h…