He Huang
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 675 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 88 citations into it; #17,287 of 21,575 by trust here, #15,955 by citations
- Generative Models — 62 citations into it
- Artificial Intelligence — 33 citations into it
- Model Architectures — 7 citations into it
- Biophysics — 5 citations into it
- Computer Graphics and Computer-Aided Design — 5 citations into it; #1,259 of 1,584 by trust here, #1,007 by citations
- Evaluation & Benchmarks — 5 citations into it
- Media Technology — 5 citations into it
Whom He Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- David G. Lowe
- Ilya Sutskever
- Ian J. Goodfellow
- Karen Simonyan
Who trusts He Huang overall
Papers from He Huang's perspective
Ordered by how strongly the researchers He Huang 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS
Their papers
- An Introduction to Image Synthesis with Generative Adversarial Nets (2018) — 200 citations