Junnan Li

Computer Vision and Pattern Recognition · with Kankanhalli · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 289 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it; #18,824 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 49 citations into it; #30,694 of 35,345 by trust here, #19,873 by citations
• Representation & Self-Supervised Learning — 21 citations into it
• Optimization & Training — 10 citations into it
• Model Architectures — 6 citations into it

Whom Junnan Li trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Yoshua Bengio
7. Ilya Sutskever
8. Nitish Srivastava
9. X. Zhang
10. Diederik P. Kingma

Who trusts Junnan Li overall

1. Görkem Algan
2. Junnan Li
3. Elad Amrani
4. Niluthpol Chowdhury Mithun
5. Hongxin Wei
6. Ilkay Ulusoy
7. Lu Jiang
8. Caiming Xiong
9. Rameswar Panda
10. Rami Ben-Ari

Papers from Junnan Li's perspective

Ordered by how strongly the researchers Junnan 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Learning to Learn From Noisy Labeled Data (2018) — 372 citations
• Attention Transfer from Web Images for Video Recognition (2017) — 47 citations