Zehua Fu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 321 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 75 citations into it; #19,121 of 21,575 by trust here, #15,529 by citations
• Artificial Intelligence — 34 citations into it; #31,208 of 35,345 by trust here, #30,347 by citations
• Model Architectures — 14 citations into it; #1,981 of 2,278 by trust here, #2,128 by citations
• Safety, Risk, Reliability and Quality — 9 citations into it

Whom Zehua Fu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. Sepp Hochreiter
9. Ilya Sutskever
10. Christian Szegedy

Who trusts Zehua Fu overall

1. Muchen Li
2. Peihan Miao

Papers from Zehua Fu's perspective

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

Their papers

• Visual Grounding with Transformers (2021) — 86 citations
• STMTrack: Template-free Visual Tracking with Space-time Memory Networks (2021) — 337 citations