Sina Dabiri

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom Sina Dabiri trusts overall

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

1. Alex Krizhevsky
2. Leo Breiman
3. Jerome H. Friedman
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Yoon Kim
7. Karen Simonyan
8. Yu Zheng
9. Xavier Glorot
10. Yoshua Bengio

Papers from Sina Dabiri's perspective

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

Their papers

• Inferring transportation modes from GPS trajectories using a convolutional neural network (2018) — 371 citations