Pengyuan Lyu
Computer Vision and Pattern Recognition · 2016–2022
A researcher in the Science corpus: 6 papers; trusts 1,061 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 285 citations into it; #5,342 of 21,575 by trust here, #5,754 by citations
- Artificial Intelligence — 104 citations into it
- Natural Language Processing — 57 citations into it
- Media Technology — 55 citations into it; #662 of 3,621 by trust here, #588 by citations
- Model Architectures — 33 citations into it
- Signal Processing — 14 citations into it
- Optimization & Training — 12 citations into it
Whom Pengyuan Lyu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Andrew Zisserman
- Max Jaderberg
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
Who trusts Pengyuan Lyu overall
- Minghui Liao
- Shangbang Long
- Cong Yao
- Chengquan Zhang
- Xin He
- Wenhai Wang
- Zhaoyi Wan
- Xiang Bai
- Yuliang Liu
- Mingkun Yang
Papers from Pengyuan Lyu's perspective
Ordered by how strongly the researchers Pengyuan Lyu 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes (2018) — 642 citations
- Robust Scene Text Recognition with Automatic Rectification (2016) — 638 citations
- Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation (2018) — 339 citations
- ASTER: An Attentional Scene Text Recognizer with Flexible Rectification (2019) — 837 citations
- MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining (2022) — 51 citations
- Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification (2017) — 79 citations