Xijun Wang

Computer Vision and Pattern Recognition · with Chen · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 389 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 76 citations into it; #19,130 of 21,575 by trust here, #20,271 by citations
• Artificial Intelligence — 49 citations into it; #31,137 of 35,345 by trust here, #32,362 by citations
• Efficiency & Compression — 29 citations into it
• Model Architectures — 28 citations into it
• Signal Processing — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Xijun Wang trusts overall

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

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

Who trusts Xijun Wang overall

1. Ruizhe Zhao
2. Wayne W. C. Luk

Papers from Xijun Wang's perspective

Ordered by how strongly the researchers Xijun Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Dynamic Region-Aware Convolution (2020) — 139 citations
• Fully Learnable Group Convolution for Acceleration of Deep Neural Networks (2019) — 81 citations