Xinqian Gu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 13 citations into it

Whom Xinqian Gu trusts overall

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

1. David G. Lowe
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Kaiming He
5. Alex Krizhevsky
6. Karen Simonyan
7. Ross B. Girshick
8. Liang Zheng
9. Yoshua Bengio
10. Andrew Zisserman

Papers from Xinqian Gu's perspective

Ordered by how strongly the researchers Xinqian Gu 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Interaction-And-Aggregation Network for Person Re-Identification (2019) — 392 citations