Muhammad Zeshan Afzal

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 7 citations into it

Whom Muhammad Zeshan Afzal trusts overall

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

1. Diederik P. Kingma

Papers from Muhammad Zeshan Afzal's perspective

Ordered by how strongly the researchers Muhammad Zeshan Afzal trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. GENERATIVE ADVERSARIAL NETS
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
8. Improved Techniques for Training GANs
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network (2017) — 156 citations