Prateek Katiyar

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 604 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it
• Generative Models — 27 citations into it
• Artificial Intelligence — 22 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Prateek Katiyar trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yann LeCun
5. Diederik P. Kingma
6. Yoshua Bengio
7. Ilya Sutskever
8. Ross B. Girshick
9. Karen Simonyan
10. Christian Szegedy

Who trusts Prateek Katiyar overall

1. Patrick Esser

Papers from Prateek Katiyar's perspective

Ordered by how strongly the researchers Prateek Katiyar 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis (2020) — 4 citations