N. Tsagarakis

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 63 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #21,239 of 21,575 by trust here, #16,367 by citations

Whom N. Tsagarakis trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Karen Simonyan

Who trusts N. Tsagarakis overall

1. Kristen Grauman

Papers from N. Tsagarakis's perspective

Ordered by how strongly the researchers N. Tsagarakis trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet Large Scale Visual Recognition Challenge
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection (2017) — 366 citations