Li Pan

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 77 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Artificial Intelligence — 17 citations into it
• Building and Construction — 5 citations into it; #2,447 of 2,909 by trust here, #1,840 by citations
• Model Architectures — 5 citations into it
• Transportation — 5 citations into it; #1,741 of 2,062 by trust here, #1,139 by citations

Whom Li Pan trusts overall

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

1. Sepp Hochreiter
2. Eleni I. Vlahogianni
3. Alex Graves
4. J. Urgen Schmidhuber
5. Manoel Castro-Neto
6. Wenhao Huang
7. Matthew G. Karlaftis
8. Diederik P. Kingma
9. Geoffrey E. Hinton
10. Tom Schaul

Who trusts Li Pan overall

1. Ammar M. Gharaibeh

Papers from Li Pan's perspective

Ordered by how strongly the researchers Li Pan 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Histograms of oriented gradients for human detection

Their papers

• ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding (2018) — 310 citations
• Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network (2015) — 411 citations