100 citations · 193 across the 12 of their papers we have counts for
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cs.CV2021★ 2 cited
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species
Changsheng Lu, Piotr Koniusz
Current non-rigid object keypoint detectors perform well on a chosen kind of species and body parts, and require a large amount of labelled keypoints for training. Moreover, their…
cs.LG2021★ 21 cited
REFINE: Random RangE FInder for Network Embedding
Hao Zhu, Piotr Koniusz
Network embedding approaches have recently attracted considerable interest as they learn low-dimensional vector representations of nodes. Embeddings based on the matrix factorizati…
cs.LG2021
Graph Convolutional Network with Generalized Factorized Bilinear Aggregation
Hao Zhu, Piotr Koniusz
Although Graph Convolutional Networks (GCNs) have demonstrated their power in various applications, the graph convolutional layers, as the most important component of GCN, are stil…