Jian Zhang

Computer Vision and Pattern Recognition · with Mou · 2022

A researcher in the Science corpus: 1 paper; trusts 431 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it
• Media Technology — 37 citations into it
• Computational Mechanics — 17 citations into it
• Computer Graphics and Computer-Aided Design — 5 citations into it

Whom Jian Zhang trusts overall

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

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

Papers from Jian Zhang's perspective

Ordered by how strongly the researchers Jian Zhang 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. ImageNet: A large-scale hierarchical image database
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Generalized Unfolding Networks for Image Restoration (2022) — 317 citations