Ruiqing Jian

Aerospace Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Aerospace Engineering — 9 citations into it
• Geology — 9 citations into it

Whom Ruiqing Jian trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Walter Wohlkinger

Papers from Ruiqing Jian's perspective

Ordered by how strongly the researchers Ruiqing Jian trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
6. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
7. 3D ShapeNets: A deep representation for volumetric shapes
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Their papers

• Noise-Resistant Deep Learning for Object Classification in Three-Dimensional Point Clouds Using a Point Pair Descriptor (2018) — 21 citations