output
20142019
most citedNTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

1.8k citations

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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…

cs.CV201679 cited

Exploiting Web Images for Dataset Construction: A Domain Robust Approach

Yazhou Yao, Jian Zhang, Fumin Shen +3

Labelled image datasets have played a critical role in high-level image understanding. However, the process of manual labelling is both time-consuming and labor intensive. To reduc…

cs.CV2016

Deep CTR Prediction in Display Advertising

Junxuan Chen, Baigui Sun, Hao Li +2

Click through rate (CTR) prediction of image ads is the core task of online display advertising systems, and logistic regression (LR) has been frequently applied as the prediction…