Rajitha Navarathna

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Artificial Intelligence — 13 citations into it
• Generative Models — 8 citations into it

Whom Rajitha Navarathna trusts overall

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

1. Davis E. King
2. Diederik P. Kingma
3. Carl Doersch
4. Navneet Dalal
5. Michael I. Jordan
6. Geoffrey E. Hinton
7. Daniel D. Lee
8. M. Wedel
9. Jimmy Ba
10. Xuehan Xiong

Who trusts Rajitha Navarathna overall

1. Yingzhen Li
2. Francesco Locatello

Papers from Rajitha Navarathna's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Histograms of oriented gradients for human detection
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Factorized Variational Autoencoders for Modeling Audience Reactions to Movies (2017) — 50 citations