Kaixin Wang

Computer Vision and Pattern Recognition · with Feng · 2019

A researcher in the Science corpus: 1 paper; trusts 147 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Artificial Intelligence — 16 citations into it

Whom Kaixin Wang trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Andrew Zisserman
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ross B. Girshick
9. Yann LeCun
10. Evan Shelhamer

Who trusts Kaixin Wang overall

1. Fabio Cermelli
2. Zhuotao Tian
3. Umberto Michieli
4. Juhong Min
5. Pitchaporn Rewatbowornwong
6. Gengwei Zhang
7. Chunbo Lang
8. Kai Zhu
9. Haoyu He
10. Xiaoyu Chen

Papers from Kaixin Wang's perspective

Ordered by how strongly the researchers Kaixin 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

• PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment (2019) — 1,460 citations