Zhenliang He
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 176 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 53 citations into it; #19,702 of 21,575 by trust here, #10,010 by citations
- Generative Models — 34 citations into it
- Artificial Intelligence — 23 citations into it
- Optimization & Training — 8 citations into it
- Signal Processing — 7 citations into it
- Model Architectures — 5 citations into it
Whom Zhenliang He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Christian Szegedy
- Yoshua Bengio
- Alex Krizhevsky
- Sergey Ioffe
- Jimmy Ba
- Ilya Sutskever
- Alec Radford
- Kaiming He
Who trusts Zhenliang He overall
- Umur Aybars Ciftci
- Jiaolong Yang
- Yuval Alaluf
- Abdul Jabbar
- Seonghyeon Nam
- Luca Guarnera
- Chao Zhang
- Yunfan Liu
- Edo Collins
- Shusen Liu
Papers from Zhenliang He's perspective
Ordered by how strongly the researchers Zhenliang He 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- AttGAN: Facial Attribute Editing by Only Changing What You Want (2017) — 828 citations
- Arbitrary Facial Attribute Editing: Only Change What You Want (2017) — 57 citations