Jiadong Liang
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 549 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 66 citations into it
- Generative Models — 44 citations into it
- Multimodal Learning — 19 citations into it
- Artificial Intelligence — 12 citations into it
- Natural Language Processing — 10 citations into it
- Media Technology — 7 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Jiadong Liang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Scott E. Reed
- Kaiming He
- Diederik P. Kingma
- Yoshua Bengio
- Karen Simonyan
- Yann LeCun
- Ilya Sutskever
- Ian J. Goodfellow
Who trusts Jiadong Liang overall
Papers from Jiadong Liang's perspective
Ordered by how strongly the researchers Jiadong Liang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- CPGAN: Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis (2020) — 72 citations
- CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis (2019) — 19 citations