activity
20172026
most citedMulti-Behavior Recommendation with Cascading Graph Convolution Networks

108 citations · 206 across the 19 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval

Zan Gao, Yuxiang Shao, Weili Guan +3

Recently, many view-based 3D model retrieval methods have been proposed and have achieved state-of-the-art performance. Most of these methods focus on extracting more discriminativ…

cs.CV2021★ 2 cited

Multigranular Visual-Semantic Embedding for Cloth-Changing Person Re-identification

Zan Gao, Hongwei Wei, Weili Guan +3

Person reidentification (ReID) is a very hot research topic in machine learning and computer vision, and many person ReID approaches have been proposed; however, most of these meth…

cs.CV2021★ 5 cited

TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization

Zan Gao, Chao Sun, Zhiyong Cheng +3

Finding tampered regions in images is a hot research topic in machine learning and computer vision. Although many image manipulation location algorithms have been proposed, most of…

cs.IR2021★ 3 cited

Review Polarity-wise Recommender

Han Liu, Yangyang Guo, Jianhua Yin +2

Utilizing review information to enhance recommendation, the de facto review-involved recommender systems, have received increasing interests over the past few years. Thereinto, one…

cs.IR2021★ 2 cited

Interest-aware Message-Passing GCN for Recommendation

Fan Liu, Zhiyong Cheng, Lei Zhu +2

Graph Convolution Networks (GCNs) manifest great potential in recommendation. This is attributed to their capability on learning good user and item embeddings by exploiting the col…