M. Busta

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 317 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #13,266 of 21,575 by trust here, #16,787 by citations

Whom M. Busta trusts overall

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

1. Ross B. Girshick
2. Karen Simonyan
3. Andrew Zisserman
4. Max Jaderberg
5. Kaiming He
6. Piotr Doll'ar
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Yann LeCun
10. Alex Graves

Who trusts M. Busta overall

1. Pengyuan Lyu
2. Baoguang Shi
3. Yipeng Sun
4. Minghui Liao
5. Cong Yao
6. Hao Wang
7. Xiang Bai
8. Mingkun Yang
9. Chengquan Zhang

Papers from M. Busta's perspective

Ordered by how strongly the researchers M. Busta 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep TextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework (2017) — 240 citations