Xiao-Jiao Mao
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 2 papers; trusts 423 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 74 citations into it; #14,329 of 21,575 by trust here, #13,542 by citations
- Media Technology — 35 citations into it; #2,213 of 3,621 by trust here, #1,696 by citations
- Computational Mechanics — 16 citations into it
- Artificial Intelligence — 13 citations into it
- Model Architectures — 9 citations into it
- Optimization & Training — 5 citations into it
Whom Xiao-Jiao Mao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Karen Simonyan
- Alex Krizhevsky
- Yoshua Bengio
- Rob Fergus
- Yann LeCun
- Andrew Zisserman
- Chao Dong
Who trusts Xiao-Jiao Mao overall
- Xin Tao
- Ying Tai
- Haokui Zhang
- Jie Li
- Yulun Zhang
- Hongyun Gao
- Wenqi Ren
- Tobias Plötz
- Masanori Suganuma
- Saeed Anwar
Papers from Xiao-Jiao Mao's perspective
Ordered by how strongly the researchers Xiao-Jiao Mao 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections (2016) — 429 citations
- Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (2016) — 1,698 citations