Rajagopalan Ambasamudram Narayanan

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 349 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Media Technology — 35 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Generative Models — 5 citations into it

Whom Rajagopalan Ambasamudram Narayanan trusts overall

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

1. Diederik P. Kingma
2. Radu Timofte
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Kaiming He
6. Alex Krizhevsky
7. Yann LeCun
8. Andrew Zisserman
9. Yoshua Bengio
10. Jiwon Kim

Papers from Rajagopalan Ambasamudram Narayanan's perspective

Ordered by how strongly the researchers Rajagopalan Ambasamudram Narayanan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
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

• Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network (2018) — 59 citations