Xiaofeng Wang

Computer Vision and Pattern Recognition · with Huang · 2010–2020

A researcher in the Science corpus: 2 papers; trusts 81 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Artificial Intelligence — 16 citations into it

Whom Xiaofeng Wang trusts overall

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

1. Luminita A. Vese
2. Tony F. Chan
3. Stanley J. Osher
4. Nikos Paragios
5. Chunming Li
6. Ross B. Girshick
7. Kaiming He
8. Pedro F. Felzenszwalb
9. Rachid Deriche
10. Alex Krizhevsky

Papers from Xiaofeng Wang's perspective

Ordered by how strongly the researchers Xiaofeng Wang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Channel Expansion Convolutional Network for Image Classification (2020)
• An efficient local Chan-Vese model for image segmentation (2010) — 620 citations