Huachun Zhu
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 279 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 69 citations into it
- Generative Models — 62 citations into it
- Artificial Intelligence — 21 citations into it
- Media Technology — 13 citations into it
- Optimization & Training — 9 citations into it
- Statistical and Nonlinear Physics — 8 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Huachun Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Yann LeCun
- Ilya Sutskever
- Jimmy Ba
- Jun-Yan Zhu
- Karen Simonyan
Papers from Huachun Zhu's perspective
Ordered by how strongly the researchers Huachun Zhu 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)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- GENERATIVE ADVERSARIAL NETS
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Spatially Controllable Image Synthesis with Internal Representation Collaging (2018) — 43 citations
- Towards the Automatic Anime Characters Creation with Generative Adversarial Networks (2017) — 202 citations
- Towards the High-quality Anime Characters Generation with Generative Adversarial Networks (2017)