Fei Zhou

Computer Vision and Pattern Recognition · IEEE Transactions on Geoscience and Remote Sensing · 2020

A researcher in the Science corpus: 3 papers; trusts 286 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 107 citations into it
• Artificial Intelligence — 43 citations into it
• Aerospace Engineering — 24 citations into it; #4,536 of 6,421 by trust here, #3,911 by citations
• Model Architectures — 20 citations into it
• Electrical and Electronic Engineering — 11 citations into it
• Media Technology — 10 citations into it; #2,595 of 3,621 by trust here, #2,820 by citations
• Optimization & Training — 5 citations into it

Whom Fei Zhou trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Shaoqing Ren
6. X. Zhang
7. Yoshua Bengio
8. Yann LeCun
9. Tsung-Yi Lin
10. Christian Szegedy

Who trusts Fei Zhou overall

1. Tianfang Zhang
2. Xin Wu
3. Boyang Li

Papers from Fei Zhou's perspective

Ordered by how strongly the researchers Fei Zhou 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. ImageNet Large Scale Visual Recognition Challenge
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Recent advances in small object detection based on deep learning: A review (2020) — 546 citations
• Asymmetric Contextual Modulation for Infrared Small Target Detection (2020) — 723 citations
• Attentional Local Contrast Networks for Infrared Small Target Detection (2020) — 744 citations