60 citations · 98 across the 5 of their papers we have counts for
5 papers
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction
Chen-Yu Lee, Chun-Liang Li, Chu Wang +5
Natural reading orders of words are crucial for information extraction from form-like documents. Despite recent advances in Graph Convolutional Networks (GCNs) on modeling spatial…
Affinity Graph Supervision for Visual Recognition
Chu Wang, Babak Samari, Vladimir G. Kim +2
Affinity graphs are widely used in deep architectures, including graph convolutional neural networks and attention networks. Thus far, the literature has focused on abstracting fea…
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition
Chu Wang, Marcello Pelillo, Kaleem Siddiqi
View based strategies for 3D object recognition have proven to be very successful. The state-of-the-art methods now achieve over 90% correct category level recognition performance…
FAN: Focused Attention Networks
Chu Wang, Babak Samari, Vladimir Kim +2
Attention networks show promise for both vision and language tasks, by emphasizing relationships between constituent elements through weighting functions. Such elements could be re…
Local Spectral Graph Convolution for Point Set Feature Learning
Chu Wang, Babak Samari, Kaleem Siddiqi
Feature learning on point clouds has shown great promise, with the introduction of effective and generalizable deep learning frameworks such as pointnet++. Thus far, however, point…