Ke Mei

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 89 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #15,506 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 17 citations into it; #25,511 of 35,345 by trust here, #26,682 by citations

Whom Ke Mei trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yang Zou
5. Yann LeCun
6. Yoshua Bengio
7. Yi-Hsuan Tsai
8. Ross B. Girshick
9. Ilya Sutskever
10. X. Zhang

Who trusts Ke Mei overall

1. Lukas Hoyer
2. Yahao Liu
3. Dengxin Dai
4. Junshi Xia
5. Xiaoqing Guo
6. Junjue Wang
7. Jinhong Deng
8. Luc Van Gool
9. Naoto Yokoya
10. Chen Yang

Papers from Ke Mei's perspective

Ordered by how strongly the researchers Ke Mei 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. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Instance Adaptive Self-Training for Unsupervised Domain Adaptation (2020) — 349 citations