Juan Song

Computer Vision and Pattern Recognition · with Shen · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 165 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it; #13,293 of 21,575 by trust here, #16,787 by citations
• Human-Computer Interaction — 24 citations into it; #1,104 of 2,253 by trust here, #1,515 by citations
• Artificial Intelligence — 23 citations into it
• Model Architectures — 7 citations into it

Whom Juan Song trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yann LeCun
6. Sergey Ioffe
7. Andrew Zisserman
8. Jun Wan
9. Ross B. Girshick
10. Christian Szegedy

Who trusts Juan Song overall

1. Pichao Wang

Papers from Juan Song's perspective

Ordered by how strongly the researchers Juan Song 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. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Large-scale Isolated Gesture Recognition using pyramidal 3D convolutional networks (2016) — 72 citations
• Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM (2017) — 251 citations