Yi Li

Computer Vision and Pattern Recognition · with Li · 2014–2021

A researcher in the Science corpus: 2 papers; trusts 141 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #10,800 of 21,575 by trust here, #13,542 by citations
• Artificial Intelligence — 21 citations into it

Whom Yi Li trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Ross B. Girshick
6. Ilya Sutskever
7. Yann LeCun
8. Karen Simonyan
9. Diederik P. Kingma
10. Andrew Zisserman

Who trusts Yi Li overall

1. Hyeonseob Nam
2. Chao Ma
3. Suyog Dutt Jain
4. Bohyung Han
5. Seyed Mojtaba Marvasti-Zadeh
6. Seunghoon Hong
7. Yibing Song

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

Their papers

• DeepTrack: Learning Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking (2014) — 153 citations
• Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images (2021) — 153 citations