Tao Guan
Computer Vision and Pattern Recognition · 2010–2018
A researcher in the Science corpus: 2 papers; trusts 175 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 43 citations into it; #11,130 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 33 citations into it; #32,346 of 35,345 by trust here, #11,921 by citations
- Representation & Self-Supervised Learning — 10 citations into it
- Information Retrieval & Search — 7 citations into it
- Aerospace Engineering — 6 citations into it
Whom Tao Guan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Antonio Torralba
- Alex Krizhevsky
- L. Eon Bottou
- Yoshua Bengio
- Yann LeCun
- Rob Fergus
- Karen Simonyan
Who trusts Tao Guan overall
Papers from Tao Guan's perspective
Ordered by how strongly the researchers Tao Guan 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
- 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
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Approximate Nearest Neighbor Search by Residual Vector Quantization (2010) — 178 citations
- Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation (2018) — 817 citations