Xu-Yao Zhang

Computer Vision and Pattern Recognition · with Liu · 2013–2021

A researcher in the Science corpus: 8 papers; trusts 635 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 211 citations into it; #5,604 of 21,575 by trust here, #4,834 by citations
• Artificial Intelligence — 146 citations into it; #11,558 of 35,345 by trust here, #9,870 by citations
• Representation & Self-Supervised Learning — 45 citations into it; #1,634 of 3,145 by trust here, #1,781 by citations
• Meta & Continual Learning — 36 citations into it; #232 of 1,041 by trust here, #391 by citations
• Model Architectures — 29 citations into it
• Optimization & Training — 23 citations into it
• Media Technology — 20 citations into it
• Generative Models — 16 citations into it

Whom Xu-Yao Zhang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Alex Graves
4. Diederik P. Kingma
5. Yoshua Bengio
6. Yann LeCun
7. Kaiming He
8. Ilya Sutskever
9. Ross B. Girshick
10. J. Urgen Schmidhuber

Who trusts Xu-Yao Zhang overall

1. Gyuhak Kim
2. Da-Wei Zhou
3. David R Ha
4. Minghui Liao
5. Tehseen Zia
6. Liyuan Wang
7. Pengyuan Lyu
8. Cong Yao
9. Edward Schmerling
10. Changnan Xiao

Papers from Xu-Yao Zhang's perspective

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

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

Their papers

• Deep Direct Regression for Multi-oriented Scene Text Detection (2017) — 388 citations
• Robust Classification with Convolutional Prototype Learning (2018) — 464 citations
• ICDAR 2013 Chinese Handwriting Recognition Competition (2013) — 321 citations
• Prototype Augmentation and Self-Supervision for Incremental Learning (2021) — 529 citations
• Class-Incremental Learning via Dual Augmentation (2021) — 244 citations
• LG-CNN: From local parts to global discrimination for fine-grained recognition (2017) — 66 citations
• Drawing and Recognizing Chinese Characters with Recurrent Neural Network (2016) — 349 citations
• Adaptive spatial pooling for image classification (2016) — 50 citations