Rahul Chauhan

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it; #17,429 of 21,575 by trust here, #21,103 by citations

Whom Rahul Chauhan trusts overall

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

1. Alex Krizhevsky
2. Caifeng Shan
3. Chenglin Liu
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Li Deng
7. Shaogang Gong
8. Kazuki Nakashima
9. Yoshua Bengio

Who trusts Rahul Chauhan overall

1. Haftay Gebreslasie Abreha
2. Mohammad R. Hayajneh

Papers from Rahul Chauhan's perspective

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

Their papers

• Convolutional Neural Network (CNN) for Image Detection and Recognition (2018) — 500 citations