Ekta Walia

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 186 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 104 citations into it; #13,893 of 21,575 by trust here, #9,563 by citations
• Generative Models — 52 citations into it; #1,304 of 1,956 by trust here, #1,091 by citations
• Artificial Intelligence — 48 citations into it; #22,408 of 35,345 by trust here, #12,580 by citations
• Radiology, Nuclear Medicine and Imaging — 41 citations into it
• Biophysics — 13 citations into it
• Media Technology — 12 citations into it
• Model Architectures — 10 citations into it
• Medical Imaging — 5 citations into it

Whom Ekta Walia trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Yann LeCun
5. Yoshua Bengio
6. Kaiming He
7. Christian Szegedy
8. Ilya Sutskever
9. Alec Radford
10. Karen Simonyan

Who trusts Ekta Walia overall

1. Sergey I. Nikolenko
2. Chetan L. Srinidhi
3. Qinghua Huang

Papers from Ekta Walia's perspective

Ordered by how strongly the researchers Ekta Walia 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. GENERATIVE ADVERSARIAL NETS
10. Going deeper with convolutions

Their papers

• Generative Adversarial Network in Medical Imaging: A Review (2018) — 1,691 citations
• Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network (2017) — 368 citations