Samin Rahman Khan

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 84 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #19,480 of 21,575 by trust here, #19,766 by citations
• Evaluation & Benchmarks — 16 citations into it; #2,714 of 3,147 by trust here, #3,004 by citations
• Artificial Intelligence — 10 citations into it

Whom Samin Rahman Khan trusts overall

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

1. Kaiming He
2. Liang-Chieh Chen
3. François Chollet
4. Stephan R. Richter
5. Jia Deng
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Ross B. Girshick
9. X. Zhang
10. Magnus Wrenninge

Who trusts Samin Rahman Khan overall

1. Sergey I. Nikolenko
2. Mike Roberts

Papers from Samin Rahman Khan's perspective

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

Their papers

• ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks (2019) — 49 citations
• Unlimited Road-scene Synthetic Annotation (URSA) Dataset (2018) — 23 citations