119 citations · 139 across the 6 of their papers we have counts for
6 papers
Robust Visual Question Answering: Datasets, Methods, and Future Challenges
Jie Ma, Pinghui Wang, Dechen Kong +4
Visual question answering requires a system to provide an accurate natural language answer given an image and a natural language question. However, it is widely recognized that pre…
Curvature Regularization to Prevent Distortion in Graph Embedding
Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang +2
Recent research on graph embedding has achieved success in various applications. Most graph embedding methods preserve the proximity in a graph into a manifold in an embedding spac…
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang +2
Message-passing neural networks (MPNNs) have been successfully applied to representation learning on graphs in a variety of real-world applications. However, two fundamental weakne…
Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification
Jialun Liu
Person re-identification is to retrieval pedestrian images from no-overlap camera views detected by pedestrian detectors. Most existing person re-identification (re-ID) models ofte…
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics
Hongbin Pei, Bo Yang, Jiming Liu +1
Predicting epidemic dynamics is of great value in understanding and controlling diffusion processes, such as infectious disease spread and information propagation. This task is int…
Early Warning of Human Crowds Based on Query Data from Baidu Map: Analysis Based on Shanghai Stampede
Jingbo Zhou, Hongbin Pei, Haishan Wu
Without sufficient preparation and on-site management, the mass scale unexpected huge human crowd is a serious threat to public safety. A recent impressive tragedy is the 2014 Shan…