Yue Guo

Computer Vision and Pattern Recognition · with He · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 228 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 71 citations into it; #12,844 of 21,575 by trust here, #15,529 by citations
• Aerospace Engineering — 27 citations into it; #3,456 of 6,421 by trust here, #3,911 by citations
• Artificial Intelligence — 17 citations into it
• Media Technology — 13 citations into it

Whom Yue Guo trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Tsung-Yi Lin
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Shaoqing Ren
7. Yann LeCun
8. David G. Lowe
9. Yoshua Bengio
10. Karen Simonyan

Who trusts Yue Guo overall

1. Xue Yang
2. Guoquan Huang

Papers from Yue Guo's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Learning Modulated Loss for Rotated Object Detection (2019) — 399 citations
• PL-VIO: Tightly-Coupled Monocular Visual–Inertial Odometry Using Point and Line Features (2018) — 304 citations