V. S. Rao Veeravasarapu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #13,075 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 9 citations into it
• Generative Models — 8 citations into it; #1,200 of 1,956 by trust here, #1,681 by citations

Whom V. S. Rao Veeravasarapu trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Scott E. Reed
6. Alex Krizhevsky

Who trusts V. S. Rao Veeravasarapu overall

1. Aviv Gabbay

Papers from V. S. Rao Veeravasarapu's perspective

Ordered by how strongly the researchers V. S. Rao Veeravasarapu trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders (2018) — 137 citations