Jonathan Pedoeem

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 171 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 8 citations into it
• Efficiency & Compression — 5 citations into it
• Model Architectures — 5 citations into it

Whom Jonathan Pedoeem trusts overall

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

1. Ross B. Girshick
2. Joseph Redmon
3. Kaiming He
4. Christian Szegedy
5. Shaoqing Ren
6. Karen Simonyan
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. J. Urgen Schmidhuber
10. Ali Farhadi

Who trusts Jonathan Pedoeem overall

1. Mingxing Tan
2. Shuxuan Guo
3. P. Adarsh
4. Tausif Diwan

Papers from Jonathan Pedoeem's perspective

Ordered by how strongly the researchers Jonathan Pedoeem trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers (2018) — 564 citations