Yusheng Xie
Computer Vision and Pattern Recognition · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 292 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 99 citations into it
- Artificial Intelligence — 83 citations into it
- Multimodal Learning — 35 citations into it
- Representation & Self-Supervised Learning — 30 citations into it
- Natural Language Processing — 20 citations into it
- Optimization & Training — 5 citations into it
Whom Yusheng Xie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Ross B. Girshick
- Yann LeCun
- Karen Simonyan
- Jia Deng
Papers from Yusheng Xie's perspective
Ordered by how strongly the researchers Yusheng Xie 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- DocFormer: End-to-End Transformer for Document Understanding (2021) — 414 citations
- LaTr: Layout-Aware Transformer for Scene-Text VQA (2021) — 121 citations
- Towards Good Practices in Self-supervised Representation Learning (2020) — 23 citations