Lin Liang
Computer Graphics and Computer-Aided Design · with Guo · 2001
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Graphics and Computer-Aided Design — 7 citations into it; #730 of 1,584 by trust here, #605 by citations
- Computer Vision and Pattern Recognition — 7 citations into it; #10,200 of 21,575 by trust here, #10,334 by citations
- Computational Mechanics — 5 citations into it; #4,515 of 10,001 by trust here, #3,029 by citations
Whom Lin Liang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexei A. Efros
- Li-Yi Wei
- Jeremy S. De Bonet
- Greg Turk
- Ian T. Jolliffe
- Marc Levoy
- Jerome H. Friedman
- Emil Praun
- Sunil Arya
- William T. Freeman
Who trusts Lin Liang overall
- Ce Liu
- Antonio Criminisi
- Alexei A. Efros
- Sylvain Lefebvre
- William T. Freeman
- Vincent Dumoulin
- Patrick Pérez
- Darko Pavic
- Harry Shum
- Seunghyup Shin
Papers from Lin Liang's perspective
Ordered by how strongly the researchers Lin Liang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Real-time texture synthesis by patch-based sampling (2001) — 769 citations