Neerav Karani

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 122 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Artificial Intelligence — 36 citations into it; #31,809 of 35,345 by trust here, #25,040 by citations
• Representation & Self-Supervised Learning — 32 citations into it
• Generative Models — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Neerav Karani trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Kaiming He
5. Yoshua Bengio
6. Sergey Ioffe
7. Yann LeCun
8. Ross B. Girshick
9. Christian Szegedy
10. Jimmy Ba

Who trusts Neerav Karani overall

1. Mingxia Liu

Papers from Neerav Karani's perspective

Ordered by how strongly the researchers Neerav Karani 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 Large Scale Visual Recognition Challenge
5. Learning Multiple Layers of Features from Tiny Images
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• Contrastive learning of global and local features for medical image segmentation with limited annotations (2020) — 697 citations