Xu Yan

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 232 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 88 citations into it
• Computational Mechanics — 80 citations into it
• Geology — 51 citations into it
• Aerospace Engineering — 42 citations into it
• Molecular Biology — 24 citations into it
• Computational Theory and Mathematics — 19 citations into it
• 3D Vision & Pose — 18 citations into it
• Artificial Intelligence — 15 citations into it

Whom Xu Yan trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Charles Ruizhongtai Qi
6. Yann LeCun
7. Yoshua Bengio
8. Diederik P. Kingma
9. Jimmy Ba
10. Benjamin Graham

Who trusts Xu Yan overall

1. Shi Qiu
2. Yunpeng Zhang
3. Zaiwei Zhang
4. Meng-Hao Guo
5. Xuran Pan
6. Tiange Xiang
7. Ankit Goyal
8. Saeed Anwar
9. Zhengbiao Zhu
10. Rohit Girdhar

Papers from Xu Yan's perspective

Ordered by how strongly the researchers Xu Yan 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling (2020) — 671 citations
• PointSite: a point cloud segmentation tool for identification of protein ligand binding atoms (2019) — 54 citations
• 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (2022) — 338 citations
• Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (2020) — 383 citations