Ekaterina Tikhoncheva

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 146 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #18,223 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 12 citations into it; #29,722 of 35,345 by trust here, #18,186 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Ekaterina Tikhoncheva trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Nitish Srivastava
5. Pedro F. Felzenszwalb
6. Ilya Sutskever
7. Kaiming He
8. Yann LeCun
9. Carl Doersch
10. Mark Everingham

Who trusts Ekaterina Tikhoncheva overall

1. Björn Ommer
2. Artsiom Sanakoyeu

Papers from Ekaterina Tikhoncheva's perspective

Ordered by how strongly the researchers Ekaterina Tikhoncheva 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• CliqueCNN: Deep Unsupervised Exemplar Learning (2016) — 116 citations