Panqu Wang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 166 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #14,534 of 21,575 by trust here, #6,089 by citations
• Artificial Intelligence — 20 citations into it; #23,705 of 35,345 by trust here, #8,525 by citations
• Model Architectures — 9 citations into it

Whom Panqu Wang trusts overall

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

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

Who trusts Panqu Wang overall

1. Liang-Chieh Chen
2. Changqian Yu
3. Jun Fu
4. Fahad Lateef
5. George Papandreou
6. Abdul Mueed Hafiz
7. Zhengyang Wang
8. Yuhui Yuan
9. Nabil Ibtehaz
10. Sachin Mehta

Papers from Panqu Wang's perspective

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

Their papers

• Understanding Convolution for Semantic Segmentation (2017) — 1,908 citations