Rahul Mitra

Computer Vision and Pattern Recognition · with Ahmed · 2019

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 15 citations into it

Whom Rahul Mitra trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Yoshua Bengio
6. Ross B. Girshick
7. Kaiming He
8. Jimmy Ba
9. Yann LeCun
10. Daniel J. Singer

Papers from Rahul Mitra's perspective

Ordered by how strongly the researchers Rahul Mitra 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• ProtoGAN: Towards Few Shot Learning for Action Recognition (2019) — 108 citations