Garrick Brazil

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 338 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #5,663 of 21,575 by trust here, #14,151 by citations
• Artificial Intelligence — 10 citations into it
• Aerospace Engineering — 8 citations into it; #832 of 6,421 by trust here, #3,388 by citations

Whom Garrick Brazil trusts overall

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

1. Ross B. Girshick
2. Alex Krizhevsky
3. Kaiming He
4. Geoffrey E. Hinton
5. Yann LeCun
6. Xiaozhi Chen
7. Yoshua Bengio
8. Ilya Sutskever
9. Diederik P. Kingma
10. Karen Simonyan

Who trusts Garrick Brazil overall

1. Tai Wang
2. Yunpeng Zhang
3. Zechen Liu
4. Xinge Zhu
5. Cody Reading
6. Yongjian Chen
7. Peixuan Li
8. Xinzhu Ma
9. Yanwei Li
10. Shaoshuai Shi

Papers from Garrick Brazil's perspective

Ordered by how strongly the researchers Garrick Brazil 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. 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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• M3D-RPN: Monocular 3D Region Proposal Network for Object Detection (2019) — 556 citations