Yi Tian

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 277 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it; #16,636 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 32 citations into it; #27,216 of 35,345 by trust here, #21,878 by citations
• Model Architectures — 11 citations into it
• Media Technology — 5 citations into it

Whom Yi Tian trusts overall

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

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

Who trusts Yi Tian overall

1. Lei Shi
2. Francesco Ragusa
3. Yifan Zhang
4. Wei Peng
5. Lingzhi Zhang

Papers from Yi Tian's perspective

Ordered by how strongly the researchers Yi Tian 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
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

• Action recognition in RGB-D egocentric videos (2017) — 51 citations
• Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition (2018) — 380 citations