Yingcheng Liu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 266 researchers and is trusted by 265 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it; #2,414 of 21,575 by trust here, #3,732 by citations
• Artificial Intelligence — 20 citations into it
• Model Architectures — 10 citations into it
• Biophysics — 5 citations into it

Whom Yingcheng Liu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Bolei Zhou
5. Karen Simonyan
6. Ross B. Girshick
7. Christian Szegedy
8. Sergey Ioffe
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Yingcheng Liu overall

1. Jianwei Yang
2. Weihao Yu
3. Hugo Touvron
4. Yongming Rao
5. Zilong Huang
6. Alaaeldin El-Nouby
7. Di Wang
8. Wenxiao Wang
9. Qiming Zhang
10. Bernt Schiele

Papers from Yingcheng Liu's perspective

Ordered by how strongly the researchers Yingcheng Liu 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Unified Perceptual Parsing for Scene Understanding (2018) — 2,555 citations