Ruoxi Deng

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 710 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it; #12,156 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 21 citations into it
• Media Technology — 9 citations into it; #2,241 of 3,621 by trust here, #3,430 by citations
• Model Architectures — 9 citations into it
• Aerospace Engineering — 5 citations into it

Whom Ruoxi Deng trusts overall

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

1. Piotr Doll'ar
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. David G. Lowe
7. Ross B. Girshick
8. Yann LeCun
9. Andrew Zisserman
10. Diederik P. Kingma

Who trusts Ruoxi Deng overall

1. Mengyang Pu
2. Yaping Huang
3. J. Liew
4. Qingji Guan
5. Mingyuan Fan
6. Yuming Liu
7. Shengjun Liu
8. Haibin Ling
9. Scott D. Cohen

Papers from Ruoxi Deng's perspective

Ordered by how strongly the researchers Ruoxi Deng 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Learning to predict crisp boundaries (2018) — 291 citations
• Deep Structural Contour Detection (2020) — 86 citations