Kyaw Zaw Lin

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #8,833 of 21,575 by trust here, #5,754 by citations

Whom Kyaw Zaw Lin trusts overall

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

1. Vincent Sitzmann
2. Shichen Liu
3. Samuli Laine

Who trusts Kyaw Zaw Lin overall

1. Jonathan T. Barron
2. Michael Niemeyer
3. Anpei Chen
4. Pratul P. Srinivasan
5. Matthew Tancik
6. Andreas Geiger
7. Jiatao Gu

Papers from Kyaw Zaw Lin's perspective

Ordered by how strongly the researchers Kyaw Zaw Lin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Gradient-based learning applied to document recognition

Their papers

• Neural Sparse Voxel Fields (2020) — 1,503 citations