Yating Tian

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Computational Mechanics — 14 citations into it

Whom Yating Tian trusts overall

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

1. Diederik P. Kingma
2. Georgios Pavlakos
3. Angjoo Kanazawa
4. Kaiming He
5. Michael J. Black
6. Geoffrey E. Hinton
7. Matthew Maverick Loper
8. Ross B. Girshick
9. Alex Krizhevsky
10. Jitendra Malik

Papers from Yating Tian's perspective

Ordered by how strongly the researchers Yating 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Microsoft COCO: Common Objects in Context
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop (2021) — 393 citations