Tan Yu

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 324 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 59 citations into it
• Artificial Intelligence — 35 citations into it
• Computational Mechanics — 12 citations into it
• Model Architectures — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Aerospace Engineering — 5 citations into it

Whom Tan Yu trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Shaoqing Ren
6. Ilya Sutskever
7. Karen Simonyan
8. Yoshua Bengio
9. Diederik P. Kingma
10. Christian Szegedy

Who trusts Tan Yu overall

1. Ankit Goyal
2. Mikaela Angelina Uy
3. Xiaoqiang Yan
4. Hei Law
5. Quang-Hieu Pham
6. Shizhe Hu
7. Anjan Dutta

Papers from Tan Yu's perspective

Ordered by how strongly the researchers Tan Yu 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

• Multi-view Harmonized Bilinear Network for 3D Object Recognition (2018) — 299 citations
• Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval (2021) — 56 citations