Md.Atiqur Rahman

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 125 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #5,962 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 10 citations into it; #8,312 of 35,345 by trust here, #19,873 by citations

Whom Md.Atiqur Rahman trusts overall

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

1. Thorsten Joachims
2. Alex Krizhevsky
3. Andrea Vedaldi
4. Geoffrey E. Hinton
5. Evan Shelhamer
6. Ilya Sutskever
7. Bharath Hariharan
8. Ross B. Girshick
9. Gabriel J. Brostow
10. Vittal Premachandran

Who trusts Md.Atiqur Rahman overall

1. Wooram Choi
2. Gianni Brauwers
3. Maxim Berman
4. Yimian Dai
5. Junhang Wei
6. Prithvijit Chattopadhyay
7. Konstantin Sofiiuk
8. Tianfang Zhang
9. Xuebin Qin
10. Michelle Guo

Papers from Md.Atiqur Rahman's perspective

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

Their papers

• Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation (2016) — 950 citations