Salih Karagoz

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 220 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #17,774 of 21,575 by trust here, #18,266 by citations
• Human-Computer Interaction — 10 citations into it; #1,669 of 2,253 by trust here, #1,743 by citations
• Artificial Intelligence — 7 citations into it
• 3D Vision & Pose — 6 citations into it
• Biomedical Engineering — 5 citations into it

Whom Salih Karagoz trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Francesc Moreno-Noguer
5. Mykhaylo Andriluka
6. Xiao Sun
7. Diederik P. Kingma
8. Bugra Tekin
9. Ross B. Girshick
10. Yann LeCun

Who trusts Salih Karagoz overall

1. Pritam Sarkar
2. David Novotný

Papers from Salih Karagoz's perspective

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

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

Their papers

• Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry (2019) — 298 citations