Ling Sun
Computer Vision and Pattern Recognition · with Zhang · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it
- Radiology, Nuclear Medicine and Imaging — 24 citations into it
- Biomedical Engineering — 21 citations into it
- Artificial Intelligence — 9 citations into it
- Optimization & Training — 6 citations into it
Whom Ling Sun trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ge Wang (in Radiology, Nuclear Medicine and Imaging)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Diederik P. Kingma (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Li Fei-Fei (in Computer Vision and Pattern Recognition)
Papers from Ling Sun's perspective
Ordered by how strongly the researchers Ling Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Perceptual Losses for Real-Time Style Transfer and Super-Resolution
- Progressive Growing of GANs for Improved Quality, Stability, and Variation
- Wasserstein GAN
- Conditional Generative Adversarial Nets
- Gradient-based learning applied to document recognition
- Image quality assessment: from error visibility to structural similarity