Yu Tian

Computer Vision and Pattern Recognition · with Kapadia · 2019

A researcher in the Science corpus: 1 paper; trusts 237 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it
• Artificial Intelligence — 16 citations into it
• Biomedical Engineering — 10 citations into it
• Human-Computer Interaction — 10 citations into it
• Model Architectures — 9 citations into it

Whom Yu Tian trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Ross B. Girshick
5. Alex Krizhevsky
6. Yoshua Bengio
7. Shaoqing Ren
8. Yann LeCun
9. Karen Simonyan
10. Jia Deng

Papers from Yu Tian's perspective

Ordered by how strongly the researchers Yu Tian 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. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Semantic Graph Convolutional Networks for 3D Human Pose Regression (2019) — 621 citations