Yin Xia

Computer Vision and Pattern Recognition · with Nie · 2014

A researcher in the Science corpus: 1 paper; trusts 78 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #11,220 of 21,575 by trust here, #10,677 by citations

Whom Yin Xia trusts overall

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

1. Ivan Laptev
2. Navneet Dalal
3. Pedro F. Felzenszwalb
4. Ross B. Girshick
5. Cordelia Schmid
6. Geoffrey E. Hinton
7. Kaiming He
8. Ali Farhadi
9. Alex Krizhevsky
10. David G. Lowe

Who trusts Yin Xia overall

1. Hossein Rahmani
2. Michael Firman
3. Jun Liu
4. Ke Cheng
5. Amir Shahroudy
6. Ajmal Saeed Mian

Papers from Yin Xia's perspective

Ordered by how strongly the researchers Yin Xia 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. Histograms of oriented gradients for human detection
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Cross-View Action Modeling, Learning, and Recognition (2014) — 631 citations