Weide Liu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 241 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 63 citations into it; #14,385 of 21,575 by trust here, #14,822 by citations
• Artificial Intelligence — 40 citations into it; #23,745 of 35,345 by trust here, #23,731 by citations

Whom Weide Liu trusts overall

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

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

Who trusts Weide Liu overall

1. Chi Zhang
2. Guosheng Lin
3. Guankai Li
4. Guangchen Shi
5. Xiaoyu Chen
6. Binghao Liu
7. Yujun Cai
8. Yirui Wu
9. Nan Song
10. Yao Ding

Papers from Weide Liu's perspective

Ordered by how strongly the researchers Weide Liu 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. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• CRNet: Cross-Reference Networks for Few-Shot Segmentation (2020) — 240 citations
• Weakly Supervised Segmentation with Maximum Bipartite Graph Matching (2020) — 42 citations