Pan Zhang

Computer Vision and Pattern Recognition · with Zhang · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 342 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 90 citations into it
• Artificial Intelligence — 59 citations into it
• Generative Models — 22 citations into it
• Optimization & Training — 7 citations into it

Whom Pan Zhang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Ross B. Girshick
6. Yoshua Bengio
7. Karen Simonyan
8. Yann LeCun
9. Ilya Sutskever
10. David G. Lowe

Who trusts Pan Zhang overall

1. Lvmin Zhang
2. Xiaoyu Li
3. Lukas Hoyer
4. Yahao Liu
5. Bo Zhang
6. Robin Rombach
7. Patrick Esser
8. Anyi Rao

Papers from Pan Zhang's perspective

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

Their papers

• Cross-Domain Correspondence Learning for Exemplar-Based Image Translation (2020) — 266 citations
• Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (2021) — 592 citations