Runzhou Ge

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #10,097 of 21,575 by trust here, #10,154 by citations
• Artificial Intelligence — 28 citations into it
• Natural Language Processing — 12 citations into it

Whom Runzhou Ge trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Jiyang Gao
4. Geoffrey E. Hinton
5. Richard Socher
6. Alex Krizhevsky
7. Jimmy Ba
8. Yoshua Bengio
9. Yann LeCun
10. Ross B. Girshick

Who trusts Runzhou Ge overall

1. Chenyou Fan
2. Thao Minh Le
3. Pin Jiang
4. Devshree Patel
5. Paul Hongsuck Seo
6. Alex Falcon
7. Yueting Zhuang
8. Vuong Le
9. Zhou Zhao
10. Zhengjun Zha

Papers from Runzhou Ge's perspective

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

Their papers

• Motion-Appearance Co-memory Networks for Video Question Answering (2018) — 267 citations