Ayush Saraf

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 209 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it; #14,861 of 21,575 by trust here, #12,172 by citations
• Computer Graphics and Computer-Aided Design — 33 citations into it
• Computational Mechanics — 15 citations into it
• Generative Models — 11 citations into it

Whom Ayush Saraf trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Jia-Bin Huang
5. Diederik P. Kingma
6. Ross B. Girshick
7. Karen Simonyan
8. John F. Canny
9. Yoshua Bengio
10. Yann LeCun

Who trusts Ayush Saraf overall

1. Wenqi Xian
2. Sosuke Kobayashi
3. Jia-Bin Huang
4. Lingzhi Zhang

Papers from Ayush Saraf's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Dynamic View Synthesis from Dynamic Monocular Video (2021) — 545 citations
• Flow-edge Guided Video Completion (2020) — 207 citations