Nikhil Ravi

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 443 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 100 citations into it; #19,732 of 21,575 by trust here, #7,852 by citations
• Artificial Intelligence — 52 citations into it
• Model Architectures — 23 citations into it
• Multimodal Learning — 21 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Optimization & Training — 10 citations into it
• Generative Models — 9 citations into it; #1,809 of 1,956 by trust here, #989 by citations

Whom Nikhil Ravi trusts overall

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

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

Who trusts Nikhil Ravi overall

1. Xintao Wang
2. Daniel Cohen-Or

Papers from Nikhil Ravi's perspective

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

Their papers

• PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models (2020) — 648 citations
• Omnivore: A Single Model for Many Visual Modalities (2022) — 319 citations