Sebastian Zambanini

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 33 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 Sebastian Zambanini trusts overall

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

1. Andrea Vedaldi
2. Matthijs C. Dorst
3. Svetlana Lazebnik
4. Andrew Zisserman
5. Josiah Wang
6. Cordelia Schmid
7. David G. Lowe
8. Alex Krizhevsky
9. Geoffrey E. Hinton
10. Kaiming He

Papers from Sebastian Zambanini's perspective

Ordered by how strongly the researchers Sebastian Zambanini 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Invariant Image-Based Species Classification of Butterflies and Reef Fish (2015) — 3 citations