Yu Zhang

Computer Vision and Pattern Recognition · with Li · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 166 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it
• Artificial Intelligence — 19 citations into it

Whom Yu Zhang trusts overall

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

1. Pedro F. Felzenszwalb
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. João Carreira
6. Joseph Tighe
7. Kaiming He
8. Svetlana Lazebnik
9. Carsten Rother
10. Andrew Zisserman

Who trusts Yu Zhang overall

1. Mohammad Hajizadeh Saffar
2. Federico Perazzi
3. Seunghoon Hong
4. Xiankai Lu
5. Mohammad Sabokrou

Papers from Yu Zhang's perspective

Ordered by how strongly the researchers Yu Zhang 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• Semantic object segmentation via detection in weakly labeled video (2015) — 81 citations
• Efficient Low-Resolution Face Recognition via Bridge Distillation (2020) — 72 citations