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20142026
most citedNTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

1.8k citations

Showing 2019 · cs.CVShow all

6 papers · 2 filters

cs.CV20191 cited

Distribution Context Aware Loss for Person Re-identification

Zhigang Chang, Qin Zhou, Mingyang Yu +3

To learn the optimal similarity function between probe and gallery images in Person re-identification, effective deep metric learning methods have been extensively explored to obta…

cs.CV2019

Learning To Characterize Adversarial Subspaces

Xiaofeng Mao, Yuefeng Chen, Yuhong Li +2

Deep Neural Networks (DNNs) are known to be vulnerable to the maliciously generated adversarial examples. To detect these adversarial examples, previous methods use artificially de…

cs.CV20191.8k cited

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

Jun Liu, Amir Shahroudy, Mauricio Perez +3

Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition. The existing depth-…

cs.CV2019

Extracting Visual Knowledge from the Internet: Making Sense of Image Data

Yazhou Yao, Jian Zhang, Xiansheng Hua +2

Recent successes in visual recognition can be primarily attributed to feature representation, learning algorithms, and the ever-increasing size of labeled training data. Extensive…

cs.CV201928 cited

Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network

Feng Mao, Xiang Wu, Hui Xue +1

High accuracy video label prediction (classification) models are attributed to large scale data. These data could be frame feature sequences extracted by a pre-trained convolutiona…

cs.CV20192 cited

Skeleton-Based Online Action Prediction Using Scale Selection Network

Jun Liu, Amir Shahroudy, Gang Wang +2

Action prediction is to recognize the class label of an ongoing activity when only a part of it is observed. In this paper, we focus on online action prediction in streaming 3D ske…