Shubhra Aich

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 349 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #14,270 of 21,575 by trust here, #21,103 by citations
• Artificial Intelligence — 9 citations into it; #23,128 of 35,345 by trust here, #34,213 by citations

Whom Shubhra Aich trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Andrew Zisserman
5. Karen Simonyan
6. Geoffrey E. Hinton
7. Christian Szegedy
8. Ilya Sutskever
9. Shaoqing Ren
10. Victor S. Lempitsky

Who trusts Shubhra Aich overall

1. Giuseppe Amato
2. Luca Ciampi
3. Fabrizio Falchi

Papers from Shubhra Aich's perspective

Ordered by how strongly the researchers Shubhra Aich 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Improving Object Counting with Heatmap Regulation (2018) — 36 citations