Yingying Zhu
Computer Vision and Pattern Recognition · 2015–2018
A researcher in the Science corpus: 3 papers; trusts 621 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 110 citations into it; #11,912 of 21,575 by trust here, #11,498 by citations
- Media Technology — 26 citations into it; #1,726 of 3,621 by trust here, #1,282 by citations
- Artificial Intelligence — 13 citations into it
- Natural Language Processing — 11 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Model Architectures — 5 citations into it
Whom Yingying Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Andrew Zisserman
- Karen Simonyan
- Yann LeCun
- Ilya Sutskever
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Yingying Zhu overall
- Xuejian Rong
- Xiang Bai
- Cong Yao
- Pengyuan Lyu
- Zhengxia Zou
- Tianyu Gu
- Junfan Wang
- Baoguang Shi
- Minghui Liao
- Chengquan Zhang
Papers from Yingying Zhu's perspective
Ordered by how strongly the researchers Yingying Zhu 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Scene text detection and recognition: recent advances and future trends (2015) — 388 citations
- Cascaded Segmentation-Detection Networks for Text-Based Traffic Sign Detection (2018) — 97 citations
- Traffic sign detection and recognition using fully convolutional network guided proposals (2016) — 219 citations