Samir S. Yadav

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #11,371 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 6 citations into it; #18,054 of 35,345 by trust here, #27,551 by citations

Whom Samir S. Yadav trusts overall

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

1. Parnian Afshar
2. Arash Mohammadi
3. K. Plataniotis
4. Qing Li
5. Xiaosong Wang
6. Weidong (Tom) Cai
7. Jia Deng
8. Luis Perez
9. Geoffrey E. Hinton
10. Sara Sabour

Who trusts Samir S. Yadav overall

1. Monika Bansal
2. Rachna Jain
3. Meenu Gupta
4. Munish Kumar
5. M. Ahsan
6. Monika Sachdeva
7. Soham Taneja

Papers from Samir S. Yadav's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep convolutional neural network based medical image classification for disease diagnosis (2019) — 884 citations