Sourjya Roy

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 28 citations into it
• Efficiency & Compression — 21 citations into it

Whom Sourjya Roy trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Robert Tibshirani
5. Diederik P. Kingma
6. Yann LeCun
7. Jia Deng
8. Yoshua Bengio
9. Zhuang Liu
10. Ilya Sutskever

Papers from Sourjya Roy's perspective

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

Their papers

• Gradual Channel Pruning While Training Using Feature Relevance Scores for Convolutional Neural Networks (2020) — 29 citations