Jiangfan Han

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 117 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #13,631 of 21,575 by trust here, #16,367 by citations
• Artificial Intelligence — 23 citations into it; #21,930 of 35,345 by trust here, #25,040 by citations
• Optimization & Training — 9 citations into it

Whom Jiangfan Han trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Shaoqing Ren
6. Yoshua Bengio
7. Yann LeCun
8. Christian Szegedy
9. Diederik P. Kingma
10. X. Zhang

Who trusts Jiangfan Han overall

1. Görkem Algan
2. Haiyang Zhang
3. Geoff Pleiss
4. Pan Zhang
5. Mouxing Yang
6. Ilkay Ulusoy
7. Ximing Xing
8. Tianyi Zhang
9. Bo Zhang
10. Yunfan Li

Papers from Jiangfan Han's perspective

Ordered by how strongly the researchers Jiangfan Han 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. 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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Self-Learning From Noisy Labels (2019) — 321 citations