Chengquan Zhang

Computer Vision and Pattern Recognition · 2015–2022

A researcher in the Science corpus: 9 papers; trusts 796 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 280 citations into it; #7,342 of 21,575 by trust here, #5,843 by citations
• Artificial Intelligence — 72 citations into it
• Media Technology — 60 citations into it; #1,088 of 3,621 by trust here, #789 by citations
• Natural Language Processing — 33 citations into it
• Model Architectures — 23 citations into it
• Aerospace Engineering — 11 citations into it
• Optimization & Training — 8 citations into it

Whom Chengquan Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Andrew Zisserman
7. Yoshua Bengio
8. Yann LeCun
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts Chengquan Zhang overall

1. Xiang Bai
2. Yuliang Liu
3. Baoguang Shi
4. Minghui Liao
5. Cong Yao
6. Shangbang Long
7. Pengyuan Lyu
8. Chee-Kheng Chng
9. Tao Kong
10. Wen Qian

Papers from Chengquan Zhang's perspective

Ordered by how strongly the researchers Chengquan Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Multi-oriented Text Detection with Fully Convolutional Networks (2016) — 534 citations
• Towards Accurate Scene Text Recognition With Semantic Reasoning Networks (2020) — 344 citations
• MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining (2022) — 51 citations
• TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network (2018) — 66 citations
• The Seventh Visual Object Tracking VOT2019 Challenge Results (2019) — 486 citations
• Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes (2019) — 256 citations
• Text/non-text image classification in the wild with convolutional neural networks (2017) — 102 citations
• Traffic sign detection and recognition using fully convolutional network guided proposals (2016) — 219 citations
• Automatic discrimination of text and non-text natural images (2015) — 24 citations