Dingdong Yang
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 425 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 58 citations into it; #7,742 of 21,575 by trust here, #6,485 by citations
- Generative Models — 34 citations into it; #755 of 1,956 by trust here, #865 by citations
- Artificial Intelligence — 20 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Model Architectures — 9 citations into it
- Media Technology — 8 citations into it
- Computer Graphics and Computer-Aided Design — 5 citations into it
Whom Dingdong Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Diederik P. Kingma
- Yoshua Bengio
- Kaiming He
- Ilya Sutskever
- Yann LeCun
- Christian Szegedy
- Andrew Zisserman
Who trusts Dingdong Yang overall
- Tianfu Wu
- Jaemin Cho
- Bo Zhao
- Tobias Hinz
- Yunjey Choi
- Zhengli Zhao
- Ning Yu
- Siyu Liu
- Youngwoo Yoon
- Jiadong Liang
Papers from Dingdong Yang's perspective
Ordered by how strongly the researchers Dingdong Yang 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis (2018) — 359 citations
- Diversity-Sensitive Conditional Generative Adversarial Networks (2019) — 223 citations