Runzhong Wang
Title
Cited by
Cited by
Year
Learning combinatorial embedding networks for deep graph matching
R Wang, J Yan, X Yang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
782019
Instaboost: Boosting instance segmentation via probability map guided copy-pasting
HS Fang, J Sun, R Wang, M Gou, YL Li, C Lu
Proceedings of the IEEE/CVF International Conference on Computer Vision, 682-691, 2019
472019
Learning deep graph matching with channel-independent embedding and hungarian attention
T Yu, R Wang, J Yan, B Li
International conference on learning representations, 2019
242019
Neural graph matching network: Learning lawler’s quadratic assignment problem with extension to hypergraph and multiple-graph matching
R Wang, J Yan, X Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
142021
Combinatorial learning of robust deep graph matching: an embedding based approach
R Wang, J Yan, X Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
92020
Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning.
R Wang, J Yan, X Yang
NeurIPS, 2020
52020
Deep reinforcement learning of graph matching
C Liu, R Wang, Z Jiang, J Yan
arXiv preprint arXiv:2012.08950, 2020
32020
Combinatorial learning of graph edit distance via dynamic embedding
R Wang, T Zhang, T Yu, J Yan, X Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
22021
Deep Latent Graph Matching
T Yu, R Wang, J Yan, B Li
International Conference on Machine Learning, 12187-12197, 2021
2021
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
R Wang, Z Hua, G Liu, J Zhang, J Yan, F Qi, S Yang, J Zhou, X Yang
arXiv preprint arXiv:2106.04927, 2021
2021
Learning Latent Topology for Graph Matching
T Yu, R Wang, J Yan, B Li
2020
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Articles 1–11