Yutong He
Computer Vision and Pattern Recognition · 2 papers · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 196 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 91 citations into it; #19,889 of 21,575 by trust here, #6,873 by citations
- Generative Models — 45 citations into it; #1,823 of 1,956 by trust here, #759 by citations
- Artificial Intelligence — 36 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
Whom Yutong He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Tero Karras
- Alex Krizhevsky
- Yoshua Bengio
- Pascal Vincent
- Yann LeCun
- Ross B. Girshick
- Ilya Sutskever
Who trusts Yutong He overall
Papers from Yutong He's perspective
Ordered by how strongly the researchers Yutong He 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
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations (2021) — 2,301 citations
- SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery (2022) — 602 citations