Renwang Chen

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Generative Models — 8 citations into it

Whom Renwang Chen trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Sergey Ioffe
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Christian Szegedy
7. Karen Simonyan
8. Jimmy Ba
9. Yoshua Bengio
10. Yuval Nirkin

Papers from Renwang Chen's perspective

Ordered by how strongly the researchers Renwang Chen 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• SimSwap: An Efficient Framework For High Fidelity Face Swapping (2020) — 488 citations