Chen-Wei Xie

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 287 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it
• Artificial Intelligence — 27 citations into it
• Model Architectures — 10 citations into it
• Media Technology — 5 citations into it

Whom Chen-Wei Xie trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Andrew Zisserman
6. Ross B. Girshick
7. Ilya Sutskever
8. Andrea Vedaldi
9. Matthew D. Zeiler
10. Yann LeCun

Who trusts Chen-Wei Xie overall

1. Tao Hu

Papers from Chen-Wei Xie's perspective

Ordered by how strongly the researchers Chen-Wei Xie 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

• Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization (2018) — 356 citations
• Deep Label Distribution Learning With Label Ambiguity (2016) — 500 citations