Xiaoyi Dong
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 3 papers; trusts 356 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 171 citations into it
- Artificial Intelligence — 117 citations into it
- Model Architectures — 74 citations into it
- Efficiency & Compression — 20 citations into it
- Generative Models — 14 citations into it
Whom Xiaoyi Dong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Ross B. Girshick
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
- Jia Deng
Who trusts Xiaoyi Dong overall
- Xuran Pan
- Jianwei Yang
- Weihao Yu
- Dongdong Chen
- Xiangyu Chen
- Yinpeng Chen
- Yuning Cui
- Salman Hameed Khan
- Yanyu Li
- Yuda Song
Papers from Xiaoyi Dong's perspective
Ordered by how strongly the researchers Xiaoyi Dong 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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
- CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows (2021) — 1,394 citations
- PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers (2021) — 286 citations
- Mobile-Former: Bridging MobileNet and Transformer (2021) — 695 citations