Sitao Xiang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 177 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #6,944 of 21,575 by trust here, #14,822 by citations
• Generative Models — 19 citations into it
• Artificial Intelligence — 14 citations into it
• Optimization & Training — 10 citations into it; #1,034 of 2,601 by trust here, #1,841 by citations

Whom Sitao Xiang trusts overall

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

1. Sergey Ioffe
2. Tim Salimans
3. Diederik P. Kingma
4. Alec Radford
5. Luke Metz
6. Kaiming He
7. Christian Szegedy
8. Individualized Treat
9. Geoffrey E. Hinton
10. Ziwei Liu

Who trusts Sitao Xiang overall

1. Ali Borji
2. Ngoc-Trung Tran
3. Aditya Ramesh
4. Igor Gitman
5. Luis Perez
6. Viet-Hung Tran
7. Yann LeCun
8. Boris Ginsburg
9. Jason Wang
10. Ngoc-Bao Nguyen

Papers from Sitao Xiang's perspective

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

Their papers

• On the Effects of Batch and Weight Normalization in Generative Adversarial Networks (2017) — 90 citations
• On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks (2017) — 12 citations