Ruichi Yu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 3 papers; trusts 406 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it; #16,399 of 21,575 by trust here, #4,926 by citations
• Artificial Intelligence — 37 citations into it; #34,075 of 35,345 by trust here, #9,760 by citations
• Generative Models — 16 citations into it
• Model Architectures — 10 citations into it; #2,148 of 2,278 by trust here, #969 by citations
• Representation & Self-Supervised Learning — 8 citations into it
• Media Technology — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Ruichi Yu trusts overall

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

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

Who trusts Ruichi Yu overall

1. Yang He
2. Zhilu Zhang
3. Ping Liu
4. Frederick Tung
5. Li Yuan
6. Yerlan Idelbayev
7. Fanjie Kong
8. Rowan Zellers
9. Alireza Zareian
10. François Plesse

Papers from Ruichi Yu's perspective

Ordered by how strongly the researchers Ruichi Yu 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• NISP: Pruning Networks Using Neuron Importance Score Propagation (2017) — 883 citations
• Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation (2017) — 326 citations
• VITON: An Image-Based Virtual Try-on Network (2017) — 763 citations