Eitam Kav-Venaki

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #8,914 of 21,575 by trust here, #13,815 by citations

Whom Eitam Kav-Venaki trusts overall

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

1. Vladimir Kolmogorov
2. Yuri Boykov
3. Antonio Criminisi
4. Lior Wolf
5. Ramin Zabih
6. Denis Simakov
7. Taeg Sang Cho
8. Yu-Shuen Wang

Who trusts Eitam Kav-Venaki overall

1. Jia-Bin Huang
2. Kaiming He
3. Christine M. Guillemot
4. Johannes Peter Kopf
5. Chen Gao
6. Meng-Li Shih
7. Zhaoyi Yan

Papers from Eitam Kav-Venaki's perspective

Ordered by how strongly the researchers Eitam Kav-Venaki 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Shift-map image editing (2009) — 451 citations