Yilin Zhu

Computer Vision and Pattern Recognition · with Bohg · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Artificial Intelligence — 6 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Yilin Zhu trusts overall

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

1. Karen Simonyan
2. Frederik D. Ebert
3. John Schulman
4. Geoffrey E. Hinton
5. Max Jaderberg
6. Andrew Zisserman
7. Diederik P. Kingma
8. Chelsea Finn
9. Jiajun Wu
10. Alex Krizhevsky

Papers from Yilin Zhu's perspective

Ordered by how strongly the researchers Yilin Zhu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects (2019) — 184 citations