Shanjun Mao
Computer Vision and Pattern Recognition · 2015–2016
A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it
- Media Technology — 12 citations into it; #1,795 of 3,621 by trust here, #1,017 by citations
- Atmospheric Science — 8 citations into it; #2,003 of 4,804 by trust here, #1,620 by citations
Whom Shanjun Mao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Farid Melgani
- Yoshua Bengio
- Kaiming He
- Clément Farabet
- Xueyun Chen
- Lorenzo Bruzzone
- Yann LeCun
- Antonio J. Plaza
- Geoffrey E. Hinton
- Jon Atli Benediktsson
Who trusts Shanjun Mao overall
Papers from Shanjun Mao's perspective
Ordered by how strongly the researchers Shanjun Mao 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)