Jun Li

Computer Vision and Pattern Recognition · with Chaudhuri · 2017

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #21,439 of 21,575 by trust here, #18,266 by citations
• Computational Mechanics — 22 citations into it; #9,907 of 10,001 by trust here, #7,501 by citations

Whom Jun Li trusts overall

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

1. Richard Socher
2. Qi-Xing Huang
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Evangelos Kalogerakis
7. W. Köhler
8. Diederik P. Kingma
9. Kaiming He
10. Yann LeCun

Who trusts Jun Li overall

1. Zhiqin Chen
2. Chenyang Zhu
3. Rana Hanocka
4. Andrea Tagliasacchi

Papers from Jun Li's perspective

Ordered by how strongly the researchers Jun 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• Deformation-driven shape correspondence via shape recognition (2017) — 176 citations