Zhangxuan Gu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 177 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it; #16,220 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 28 citations into it; #26,540 of 35,345 by trust here, #27,551 by citations

Whom Zhangxuan Gu trusts overall

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

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

Who trusts Zhangxuan Gu overall

1. Chong Zhou
2. Chen Change Loy
3. Feihong Shen
4. Ziqi Zhou
5. Jian Ding
6. Boyi Li
7. Mengde Xu
8. Bo Dai
9. Jun Liu
10. Yinjie Lei

Papers from Zhangxuan Gu's perspective

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

Their papers

• Context-aware Feature Generation For Zero-shot Semantic Segmentation (2020) — 164 citations