Feihu Zhang
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 2 papers; trusts 189 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 43 citations into it
- Artificial Intelligence — 42 citations into it; #28,951 of 35,345 by trust here, #27,551 by citations
- Graph Learning — 32 citations into it
- Model Architectures — 14 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Molecular Biology — 8 citations into it
- Computational Mechanics — 5 citations into it
Whom Feihu Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Yann LeCun
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
- Ilya Sutskever
- Heiko Hirschmüller
- Ross B. Girshick
- Andreas Geiger
Who trusts Feihu Zhang overall
- Lahav Lipson
- Yohann Cabon
- Gangwei Xu
- Hamid Laga
- Jiayi Ma
- Zhaoshuo Li
- Vladimir Tankovich
- Wei Yin
- Jing Huang
- Zachary Teed
Papers from Feihu Zhang's perspective
Ordered by how strongly the researchers Feihu Zhang 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- GA-Net: Guided Aggregation Net for End-To-End Stereo Matching (2019) — 802 citations
- Hypergraph Convolution and Hypergraph Attention (2019) — 903 citations