Xiaowei Gu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 3 papers; trusts 248 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #14,432 of 21,575 by trust here, #21,103 by citations
• Media Technology — 13 citations into it; #2,215 of 3,621 by trust here, #3,522 by citations
• Artificial Intelligence — 10 citations into it; #11,272 of 35,345 by trust here, #25,809 by citations
• Representation & Self-Supervised Learning — 6 citations into it
• Statistics and Probability — 6 citations into it

Whom Xiaowei Gu trusts overall

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

1. Plamen Parvanov Angelov
2. Yann LeCun
3. Karen Simonyan
4. Dan Claudiu Ciresan
5. Geoffrey E. Hinton
6. Marc'Aurelio Ranzato
7. Navneet Dalal
8. Koray Kavukcuoglu
9. Yoshua Bengio
10. Alex Krizhevsky

Who trusts Xiaowei Gu overall

1. Plamen Parvanov Angelov
2. Eduardo Almeida Soares
3. Bruno Costa

Papers from Xiaowei Gu's perspective

Ordered by how strongly the researchers Xiaowei Gu 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Generalized Methodology for Data Analysis (2018) — 71 citations
• Empirical Approach to Machine Learning (2018) — 80 citations
• Deep rule-based classifier with human-level performance and characteristics (2018) — 63 citations