112 citations · 250 across the 12 of their papers we have counts for
Showing 2021Show all
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cs.CV2021★ 84 cited
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning
Bi'an Du, Xiang Gao, Wei Hu +1
Point clouds have attracted increasing attention. Significant progress has been made in methods for point cloud analysis, which often requires costly human annotation as supervisio…
cs.LG2021
Self-Supervised Graph Representation Learning via Topology Transformations
Xiang Gao, Wei Hu, Guo-Jun Qi
We present the Topology Transformation Equivariant Representation learning, a general paradigm of self-supervised learning for node representations of graph data to enable the wide…
cs.CV2021★ 6 cited
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Xiang Gao, Wei Hu, Guo-Jun Qi
3D object representation learning is a fundamental challenge in computer vision to infer about the 3D world. Recent advances in deep learning have shown their efficiency in 3D obje…