most citedAsymmetric Residual Neural Network for Accurate Human Activity Recognition

57 citations · 167 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2019★ 5 cited

Asymmetric Deep Semantic Quantization for Image Retrieval

Zhan Yang, Osolo Ian Raymond, WuQing Sun +1

Due to its fast retrieval and storage efficiency capabilities, hashing has been widely used in nearest neighbor retrieval tasks. By using deep learning based techniques, hashing ca…

cs.CV2019★ 57 cited

Asymmetric Residual Neural Network for Accurate Human Activity Recognition

Jun Long, WuQing Sun, Zhan Yang +1

Human Activity Recognition (HAR) using deep neural network has become a hot topic in human-computer interaction. Machine can effectively identify human naturalistic activities by l…

cs.IR2019★ 17 cited

Deep Attention-guided Hashing

Zhan Yang, Osolo Ian Raymond, Wuqing Sun +1

With the rapid growth of multimedia data (e.g., image, audio and video etc.) on the web, learning-based hashing techniques such as Deep Supervised Hashing (DSH) have proven to be v…

cs.LG2018★ 50 cited

DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition

Zhan Yang, Osolo Ian Raymond, ChengYuan Zhang +2

Deep Convolutional Neural Networks (DCNNs) are currently popular in human activity recognition applications. However, in the face of modern artificial intelligence sensor-based gam…

cs.MM2018★ 1 cited

An Efficient Approach for Geo-Multimedia Cross-Modal Retrieval

Lei Zhu, Jun Long, Chengyuan Zhang +3

Due to the rapid development of mobile Internet techniques, cloud computation and popularity of online social networking and location-based services, massive amount of multimedia d…

cs.CL2018★ 33 cited

An Enhanced Latent Semantic Analysis Approach for Arabic Document Summarization

Kamal Al-Sabahi, Zuping Zhang, Jun Long +1

The fast-growing amount of information on the Internet makes the research in automatic document summarization very urgent. It is an effective solution for information overload. Man…