Fuzhi Yang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it
• Media Technology — 51 citations into it

Whom Fuzhi Yang trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Chao Dong
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Andrew Zisserman
7. Diederik P. Kingma
8. Yoshua Bengio
9. Yann LeCun
10. Ross B. Girshick

Who trusts Fuzhi Yang overall

1. Zhisheng Lu
2. Yanhong Zeng
3. Salman Hameed Khan
4. Syed Waqas Zamir
5. Pengchuan Zhang
6. Cui Zhang
7. Xiaolei Wu
8. Hassan Akbari
9. Shiyu Chang
10. Kun Yuan

Papers from Fuzhi Yang's perspective

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

Their papers

• Learning Texture Transformer Network for Image Super-Resolution (2020) — 868 citations
• NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results (2020) — 190 citations