Junjie Zhao
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 448 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 48 citations into it; #13,326 of 21,575 by trust here, #14,822 by citations
- Artificial Intelligence — 21 citations into it; #21,476 of 35,345 by trust here, #22,463 by citations
- Aerospace Engineering — 10 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Model Architectures — 5 citations into it
Whom Junjie Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- David G. Lowe
- Ross B. Girshick
- Andrew Zisserman
- Alex Krizhevsky
- Geoffrey E. Hinton
- Christian Szegedy
- Kaiming He
- Sergey Ioffe
- Jia Deng
Who trusts Junjie Zhao overall
Papers from Junjie Zhao's perspective
Ordered by how strongly the researchers Junjie Zhao 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Object-Part Attention Model for Fine-Grained Image Classification (2017) — 379 citations