Raghavendra R. Sedamkar

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it

Whom Raghavendra R. Sedamkar trusts overall

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

1. Jia Deng
2. Patrick Lucey
3. Alex Krizhevsky
4. Karen Simonyan
5. Kaiming He

Papers from Raghavendra R. Sedamkar's perspective

Ordered by how strongly the researchers Raghavendra R. Sedamkar 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. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Detecting Affect States Using VGG16, ResNet50 and SE-ResNet50 Networks (2020) — 542 citations