Wei Gong

Computer Vision and Pattern Recognition · with Du · 2017

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it; #19,252 of 21,575 by trust here, #18,782 by citations

Whom Wei Gong trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Shaoqing Ren
5. Karen Simonyan
6. Geoffrey E. Hinton
7. X. Zhang
8. Andrew Zisserman
9. Ilya Sutskever
10. Yann LeCun

Who trusts Wei Gong overall

1. Liquan Zhao
2. Khaled Alomar

Papers from Wei Gong's perspective

Ordered by how strongly the researchers Wei Gong 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. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (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

• Application of deep learning in object detection (2017) — 355 citations