Haifang Qin

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 446 researchers and is trusted by 252 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it; #2,479 of 21,575 by trust here, #3,156 by citations
• Artificial Intelligence — 25 citations into it
• Model Architectures — 11 citations into it

Whom Haifang Qin trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Tsung-Yi Lin
6. Piotr Doll'ar
7. Yann LeCun
8. Karen Simonyan
9. Ilya Sutskever
10. Jifeng Dai

Who trusts Haifang Qin overall

1. Chien-Yao Wang
2. Juan R. Terven
3. Kaiming He
4. Xinlong Wang
5. Kai Chen
6. Alexey Bochkovskiy
7. Hongpeng Liao
8. Huiyu Wang
9. Alexander Kirillov
10. Jiangmiao Pang

Papers from Haifang Qin's perspective

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

Their papers

• Path Aggregation Network for Instance Segmentation (2018) — 7,881 citations