Ruojin Cai

Computer Vision and Pattern Recognition · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it

Whom Ruojin Cai trusts overall

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

1. Geoffrey E. Hinton
2. Max Welling
3. Diederik P. Kingma
4. L. V. D. van der Maaten
5. Yoshua Bengio
6. Alex Krizhevsky
7. Yann LeCun
8. Kaiming He
9. Charles Ruizhongtai Qi
10. Radford M. Neal

Who trusts Ruojin Cai overall

1. Troy Luhman
2. Arash Vahdat
3. Chin-Wei Huang
4. Rundi Wu
5. Linqi Zhou
6. Ajay Jain
7. Yang Song
8. Nanxin Chen
9. Eric Luhman
10. Tengfei Wang

Papers from Ruojin Cai's perspective

Ordered by how strongly the researchers Ruojin Cai 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Learning Gradient Fields for Shape Generation (2020) — 341 citations