Ankit Kumar Sharma

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 162 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 8 citations into it
• Model Architectures — 7 citations into it

Whom Ankit Kumar Sharma trusts overall

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

1. Yoshua Bengio
2. Xavier Glorot
3. Kaiming He
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Karen Simonyan
7. Ross B. Girshick
8. Gary B. Huang
9. Yann LeCun
10. Christian Szegedy

Who trusts Ankit Kumar Sharma overall

1. David Bau
2. Steven Liu

Papers from Ankit Kumar Sharma's perspective

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

Their papers

• Slim-CNN: A Light-Weight CNN for Face Attribute Prediction (2019) — 52 citations