Tejpal S. Virdi

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #13,883 of 21,575 by trust here, #15,162 by citations

Whom Tejpal S. Virdi trusts overall

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

1. Alec Radford
2. Joes Staal
3. Tao Xu

Who trusts Tejpal S. Virdi overall

1. Arvid Lundervold
2. Xin Yi
3. Justin Ker
4. Nima Tajbakhsh
5. Salome Kazeminia

Papers from Tejpal S. Virdi's perspective

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

1. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Gradient-based learning applied to document recognition
7. StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Synthetic Medical Images from Dual Generative Adversarial Networks (2017) — 186 citations