Neha Dawar

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it; #14,904 of 21,575 by trust here, #21,103 by citations
• Biomedical Engineering — 6 citations into it

Whom Neha Dawar trusts overall

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

1. Cheng Chen
2. Roozbeh Jafari
3. Kerem Altun
4. Nasser Kehtarnavaz
5. Xiaodong Cui
6. Kui Liu
7. Allen Yuqing Yang
8. Nitish Srivastava
9. Geoffrey E. Hinton
10. Billur Barshan

Who trusts Neha Dawar overall

1. Zehua Sun
2. Billy Pik Lik Lau
3. Jun Liu
4. Marakkalage Sumudu Hasala
5. Qiuhong Ke

Papers from Neha Dawar's perspective

Ordered by how strongly the researchers Neha Dawar 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. Dropout: a simple way to prevent neural networks from overfitting
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. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Convolutional Neural Network-Based Sensor Fusion System for Monitoring Transition Movements in Healthcare Applications (2018) — 36 citations