Yanan Gu
Computer Vision and Pattern Recognition · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 529 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 75 citations into it
- Artificial Intelligence — 61 citations into it
- Representation & Self-Supervised Learning — 30 citations into it
- Meta & Continual Learning — 19 citations into it
- Radiology, Nuclear Medicine and Imaging — 7 citations into it
- Optimization & Training — 6 citations into it
- Efficiency & Compression — 5 citations into it
- Model Architectures — 5 citations into it
Whom Yanan Gu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- L. Eon Bottou
- Yann LeCun
- Diederik P. Kingma
- Oriol Vinyals
- Ilya Sutskever
Who trusts Yanan Gu overall
Papers from Yanan Gu's perspective
Ordered by how strongly the researchers Yanan Gu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Class-Incremental Instance Segmentation via Multi-Teacher Networks (2021) — 32 citations
- Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency (2022) — 106 citations