Jieming Zhou

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 140 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #20,991 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 10 citations into it
• Model Architectures — 7 citations into it

Whom Jieming Zhou trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Diederik P. Kingma
4. Christian Szegedy
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Sergey Ioffe
8. Karen Simonyan
9. Yann LeCun
10. Pedro F. Felzenszwalb

Who trusts Jieming Zhou overall

1. Christian Simon

Papers from Jieming Zhou's perspective

Ordered by how strongly the researchers Jieming Zhou 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. ImageNet: A large-scale hierarchical image database
6. Going deeper with convolutions
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Bilinear Attention Networks for Person Retrieval (2019) — 156 citations