Yuzhen Lu
Computer Vision and Pattern Recognition · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 69 citations into it
- Artificial Intelligence — 28 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Yuzhen Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joseph Redmon
- Ali Farhadi
- Connor Shorten
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Ross B. Girshick
- Diederik P. Kingma
Papers from Yuzhen Lu's perspective
Ordered by how strongly the researchers Yuzhen Lu 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
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review (2022) — 295 citations
- Development and evaluation of an apple infield grading and sorting system (2021) — 58 citations
- A survey of public datasets for computer vision tasks in precision agriculture (2020) — 341 citations