Mengran Gou

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it; #8,274 of 21,575 by trust here, #8,122 by citations
• Biomedical Engineering — 19 citations into it; #2,478 of 10,734 by trust here, #3,764 by citations
• Human-Computer Interaction — 17 citations into it; #1,956 of 2,253 by trust here, #2,026 by citations
• Artificial Intelligence — 11 citations into it

Whom Mengran Gou trusts overall

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

1. Masashi Sugiyama
2. Davide Baltieri
3. Roberto Vezzani
4. Xiaogang Wang
5. Tong Zhang
6. Douglas T. Gray
7. Geoffrey E. Hinton
8. Niloofar Gheissari
9. Alex Krizhevsky
10. Kaiming He

Who trusts Mengran Gou overall

1. Liang Zheng
2. Chi Su
3. Xiatian Zhu
4. Rahul Rama Varior
5. Shaogang Gong
6. Jingya Wang
7. Li Zhang
8. Lin Wu
9. Masoud Faraki
10. Ejaz Ahmed

Papers from Mengran Gou's perspective

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

Their papers

• Person Re-Identification Using Kernel-Based Metric Learning Methods (2014) — 686 citations
• Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold (2016) — 95 citations