Yu Rong

Computer Vision and Pattern Recognition · with Joo · 2020

A researcher in the Science corpus: 1 paper; trusts 174 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Control and Systems Engineering — 19 citations into it
• Human-Computer Interaction — 16 citations into it
• 3D Vision & Pose — 13 citations into it
• Artificial Intelligence — 6 citations into it
• Computational Mechanics — 6 citations into it

Whom Yu Rong trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Angjoo Kanazawa
4. Georgios Pavlakos
5. Hanbyul Joo
6. Christiane Zimmermann
7. Nikos Kolotouros
8. Tomas Simon
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Who trusts Yu Rong overall

1. Yana Hasson
2. Zhe Cao
3. Gul Varol
4. Ilija Radosavovic

Papers from Yu Rong's perspective

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

Their papers

• FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration (2020) — 121 citations