Yi Wang

Computer Vision and Pattern Recognition · with Albrecht · 2022

A researcher in the Science corpus: 1 paper; trusts 350 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 97 citations into it
• Artificial Intelligence — 72 citations into it
• Representation & Self-Supervised Learning — 63 citations into it
• Media Technology — 27 citations into it
• Model Architectures — 7 citations into it

Whom Yi Wang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Yann LeCun
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Karen Simonyan
10. Tomas Mikolov

Who trusts Yi Wang overall

1. Valerio Marsocci
2. Chao Tao
3. Simone Scardapane

Papers from Yi Wang's perspective

Ordered by how strongly the researchers Yi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• Self-Supervised Learning in Remote Sensing: A review (2022) — 357 citations