Ryan Mukherjee

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #14,975 of 21,575 by trust here, #11,286 by citations
• Artificial Intelligence — 12 citations into it
• Media Technology — 6 citations into it; #2,316 of 3,621 by trust here, #1,242 by citations

Whom Ryan Mukherjee trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Kaiming He
4. Andrew Zisserman

Who trusts Ryan Mukherjee overall

1. Hyojin Bahng

Papers from Ryan Mukherjee's perspective

Ordered by how strongly the researchers Ryan Mukherjee 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Et al
6. Microsoft COCO: Common Objects in Context
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Functional Map of the World (2017) — 530 citations