Matthew Tesfaldet

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #13,229 of 21,575 by trust here, #18,782 by citations
• Computer Graphics and Computer-Aided Design — 8 citations into it; #936 of 1,584 by trust here, #1,271 by citations
• Generative Models — 7 citations into it; #1,231 of 1,956 by trust here, #1,796 by citations

Whom Matthew Tesfaldet trusts overall

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

1. Leon A. Gatys
2. Diederik P. Kingma
3. Karen Simonyan
4. Alexander S. Ecker
5. Eero P. Simoncelli
6. Andrew Zisserman
7. Geoffrey E. Hinton
8. Jimmy Ba
9. Alex Krizhevsky
10. Qifeng Chen

Who trusts Matthew Tesfaldet overall

1. Nantheera Anantrasirichai
2. Jianwen Xie
3. Elizaveta Logacheva
4. D. Bull
5. Song-Chun Zhu
6. Roman Suvorov
7. Ying Nian Wu

Papers from Matthew Tesfaldet's perspective

Ordered by how strongly the researchers Matthew Tesfaldet 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
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

• Two-Stream Convolutional Networks for Dynamic Texture Synthesis (2017) — 56 citations