Yi Li

Computer Vision and Pattern Recognition · with Dai · 2016–2018

A researcher in the Science corpus: 5 papers; trusts 996 researchers and is trusted by 4,814 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 177 citations into it; #435 of 21,575 by trust here, #644 by citations
• Artificial Intelligence — 58 citations into it; #3,950 of 35,345 by trust here, #4,205 by citations
• Aerospace Engineering — 40 citations into it; #611 of 6,421 by trust here, #157 by citations
• Model Architectures — 24 citations into it
• Evaluation & Benchmarks — 19 citations into it
• Media Technology — 5 citations into it
• Neurology — 5 citations into it

Whom Yi Li trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Shaoqing Ren
7. David G. Lowe
8. Andrew Zisserman
9. Yann LeCun
10. Jitendra Malik

Who trusts Yi Li overall

1. Liang-Chieh Chen
2. Kaiming He
3. Xue Yang
4. George Papandreou
5. Daniel Bolya
6. Chunhua Shen
7. Ross B. Girshick
8. Shifeng Zhang
9. Zeming Li
10. Xinlong Wang

Papers from Yi Li's perspective

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

Their papers

• R-FCN: Object Detection via Region-based Fully Convolutional Networks (2016) — 6,037 citations
• Deformable Convolutional Networks (2017) — 6,697 citations
• Fully Convolutional Instance-Aware Semantic Segmentation (2016) — 1,052 citations
• Instance-Sensitive Fully Convolutional Networks (2016) — 408 citations
• DeepIM: Deep Iterative Matching for 6D Pose Estimation (2018) — 791 citations