Cameron Fabbri

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #9,592 of 21,575 by trust here, #17,757 by citations
• Generative Models — 15 citations into it
• Artificial Intelligence — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Cameron Fabbri trusts overall

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

1. Diederik P. Kingma
2. John F. Canny
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Yann LeCun
6. Alec Radford
7. Alex Krizhevsky
8. Jia Deng
9. Michaël Mathieu
10. Phillip Isola

Who trusts Cameron Fabbri overall

1. M. Islam
2. Peixian Zhuang
3. Jungseok Hong
4. Junaed Sattar
5. Ye-cai Guo
6. Yudong Wang
7. Michael Fulton
8. Peigen Luo
9. Hanyu Li
10. Youya Xia

Papers from Cameron Fabbri's perspective

Ordered by how strongly the researchers Cameron Fabbri 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. GENERATIVE ADVERSARIAL NETS
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Enhancing Underwater Imagery Using Generative Adversarial Networks (2018) — 750 citations