Aishan Liu
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 3 papers; trusts 231 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 101 citations into it
- Generative Models — 47 citations into it
- Artificial Intelligence — 28 citations into it
- Media Technology — 10 citations into it
- Computational Mechanics — 6 citations into it
Whom Aishan Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Christian Szegedy
- Ilya Sutskever
- Yoshua Bengio
- Diederik P. Kingma
- Kaiming He
- Ian J. Goodfellow
- Yann LeCun
- Jia Deng
Who trusts Aishan Liu overall
Papers from Aishan Liu's perspective
Ordered by how strongly the researchers Aishan Liu 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Perceptual-Sensitive GAN for Generating Adversarial Patches (2019) — 365 citations
- Regionwise Generative Adversarial Image Inpainting for Large Missing Areas (2019) — 55 citations
- Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation (2019) — 64 citations