Amin Sedaghat

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it; #17,102 of 21,575 by trust here, #17,258 by citations

Whom Amin Sedaghat trusts overall

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

1. Matthijs C. Dorst
2. Cordelia Schmid
3. Yan Ke
4. Jing Li
5. Marko Heikkilä
6. Krystian Mikolajczyk
7. Rahul Sukthankar
8. Nigel M. Allinson
9. A. Goshtasby
10. Matti Pietikäinen

Who trusts Amin Sedaghat overall

1. Jiayuan Li
2. Xingyu Jiang
3. Flora Dellinger
4. Jiayi Ma
5. Qingwu Hu
6. Julie Delon
7. Shizhi Chen
8. Yuanxin Ye

Papers from Amin Sedaghat's perspective

Ordered by how strongly the researchers Amin Sedaghat 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Distinctive Image Features from Scale-Invariant Keypoints
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Uniform Robust Scale-Invariant Feature Matching for Optical Remote Sensing Images (2011) — 302 citations