Shijie Hao
Computer Vision and Pattern Recognition · 2016–2020
A researcher in the Science corpus: 4 papers; trusts 367 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 186 citations into it
- Artificial Intelligence — 77 citations into it; #26,947 of 35,345 by trust here, #25,809 by citations
- Representation & Self-Supervised Learning — 18 citations into it
- Media Technology — 16 citations into it
Whom Shijie Hao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Karen Simonyan
- Ilya Sutskever
- Andrew Zisserman
Who trusts Shijie Hao overall
Papers from Shijie Hao's perspective
Ordered by how strongly the researchers Shijie Hao 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)
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- A Brief Survey on Semantic Segmentation with Deep Learning (2020) — 583 citations
- Low-Light Image Enhancement With Semi-Decoupled Decomposition (2020) — 339 citations
- Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization (2016) — 220 citations
- Dimensionality reduction on Anchorgraph with an efficient Locality Preserving Projection (2016) — 30 citations