Yongcheng Jing
Computer Vision and Pattern Recognition · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 447 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 122 citations into it
- Artificial Intelligence — 56 citations into it
- Generative Models — 36 citations into it
- Computer Graphics and Computer-Aided Design — 26 citations into it
- Cognitive Neuroscience — 9 citations into it
- Graph Learning — 9 citations into it
- Model Architectures — 7 citations into it
- Molecular Biology — 7 citations into it
Whom Yongcheng Jing trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Alex Krizhevsky
- Karen Simonyan
- Yoshua Bengio
- Andrea Vedaldi
- Yann LeCun
- Ross B. Girshick
- Andrew Zisserman
Who trusts Yongcheng Jing overall
- Songhua Liu
- Agnieszka Mikołajczyk
- Jordan Yaniv
- Chunbo Lang
- Stanislav Frolov
- Michal Grochowski
- Tianwei Lin
- Yael Newman
- Gong Cheng
Papers from Yongcheng Jing's perspective
Ordered by how strongly the researchers Yongcheng Jing 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Neural Style Transfer: A Review (2017) — 870 citations
- Amalgamating Knowledge from Heterogeneous Graph Neural Networks (2021) — 105 citations
- Dynamic Instance Normalization for Arbitrary Style Transfer (2019) — 219 citations