Yachuang Feng

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 134 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 11 citations into it
• Media Technology — 10 citations into it
• Model Architectures — 5 citations into it

Whom Yachuang Feng trusts overall

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

1. Geoffrey E. Hinton
2. Gong Cheng
3. Alex Krizhevsky
4. Junwei Han
5. David G. Lowe
6. Navneet Dalal
7. Ross B. Girshick
8. Ilya Sutskever
9. Yoshua Bengio
10. Yann LeCun

Who trusts Yachuang Feng overall

1. Wei Zhang
2. F. Liu
3. Xinhao Cai

Papers from Yachuang Feng's perspective

Ordered by how strongly the researchers Yachuang Feng 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Long Short-Term Memory

Their papers

• Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection (2019) — 338 citations