Yao Feng

Computer Vision and Pattern Recognition · with Shao · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #17,453 of 21,575 by trust here, #14,151 by citations

Whom Yao Feng trusts overall

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

1. Elad Richardson
2. Kaiming He
3. Piotr Doll'ar
4. Volker Blanz
5. Thomas Vetter
6. Matan Sela
7. Amin Jourabloo
8. Sami Romdhani
9. Chen Cao
10. X. Zhang

Who trusts Yao Feng overall

1. Zitong Yu
2. Michael J. Black
3. Timo Bolkart
4. Radek Daněček
5. Zezheng Wang
6. Yao Feng
7. Soubhik Sanyal
8. Rui Shao
9. Jiankang Deng
10. Jianzhu Guo

Papers from Yao Feng's perspective

Ordered by how strongly the researchers Yao Feng 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (2018) — 746 citations