Xinyang Feng

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Model Architectures — 6 citations into it

Whom Xinyang Feng trusts overall

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

1. Karen Simonyan
2. Olaf Ronneberger
3. Simon Keith Warfield
4. Andrew Zisserman
5. Diederik P. Kingma
6. Geoffrey E. Hinton
7. Philipp Fischer
8. Yoshua Bengio
9. Alex Krizhevsky
10. Kelly H. Zou

Who trusts Xinyang Feng overall

1. Mohammad Hesam Hesamian
2. Zhe Guo
3. Nima Tajbakhsh
4. Mohammadhassan Izadyyazdanabadi
5. Wenjing Jia

Papers from Xinyang Feng's perspective

Ordered by how strongly the researchers Xinyang Feng trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data (2018) — 934 citations
• Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules (2017) — 166 citations