Xiang Wang

Computer Vision and Pattern Recognition · with Ma · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 341 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Artificial Intelligence — 13 citations into it
• Aerospace Engineering — 7 citations into it

Whom Xiang Wang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Pedro F. Felzenszwalb
6. Philipp Krahenbuhl
7. Yann LeCun
8. Yoshua Bengio
9. Diederik P. Kingma
10. Andrew Zisserman

Who trusts Xiang Wang overall

1. Weifeng Ge
2. Seungho Lee
3. Jing Zhang
4. Xiangru Lin
5. Minhyun Lee

Papers from Xiang Wang's perspective

Ordered by how strongly the researchers Xiang Wang 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• Improving object proposals with multi-thresholding straddling expansion (2015) — 84 citations
• Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features (2018) — 320 citations