Guosheng Hu
Computer Vision and Pattern Recognition · 2015–2020
A researcher in the Science corpus: 4 papers; trusts 340 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 108 citations into it
- Artificial Intelligence — 38 citations into it
- Signal Processing — 23 citations into it
- Model Architectures — 15 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Media Technology — 6 citations into it
Whom Guosheng Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Yi Sun
- Yann LeCun
- Andrew Zisserman
- Matthew D. Zeiler
- Ilya Sutskever
Who trusts Guosheng Hu overall
Papers from Guosheng Hu's perspective
Ordered by how strongly the researchers Guosheng Hu 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition (2015) — 331 citations
- DADA: Differentiable Automatic Data Augmentation (2020) — 118 citations
- Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions (2017) — 51 citations
- Frankenstein: Learning Deep Face Representations Using Small Data (2016) — 127 citations