S. Deepak

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it; #11,563 of 21,575 by trust here, #16,367 by citations
• Artificial Intelligence — 6 citations into it; #18,359 of 35,345 by trust here, #25,040 by citations
• Neurology — 6 citations into it; #409 of 1,455 by trust here, #1,097 by citations

Whom S. Deepak trusts overall

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

1. Ling Shao
2. Rachna Jain
3. Jun Cheng
4. Chuanqi Tan
5. Fan Zhu
6. Fuchun Sun
7. Wei Huang
8. Xuelong Li

Who trusts S. Deepak overall

1. Mohammadreza Iman
2. Jaeyong Kang
3. Khaled M. Rasheed
4. Zahid Ullah
5. Hamid Reza Arabnia
6. Jeonghwan Gwak

Papers from S. Deepak's perspective

Ordered by how strongly the researchers S. Deepak 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet Large Scale Visual Recognition Challenge
6. Attention is All you Need (Neural Information Processing Systems)
7. Going deeper with convolutions
8. GENERATIVE ADVERSARIAL NETS
9. ImageNet: A large-scale hierarchical image database
10. Gradient-based learning applied to document recognition

Their papers

• Brain tumor classification using deep CNN features via transfer learning (2019) — 1,106 citations