Shunyi Zheng

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 609 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 102 citations into it; #10,433 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 60 citations into it
• Model Architectures — 40 citations into it
• Media Technology — 30 citations into it; #1,439 of 3,621 by trust here, #2,598 by citations
• Atmospheric Science — 14 citations into it
• Natural Language Processing — 10 citations into it
• Radiology, Nuclear Medicine and Imaging — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Shunyi Zheng trusts overall

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

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

Who trusts Shunyi Zheng overall

1. Libo Wang
2. Valerio Marsocci
3. Rui Li
4. Chenxi Duan
5. Qichao Liu

Papers from Shunyi Zheng's perspective

Ordered by how strongly the researchers Shunyi Zheng 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images (2020) — 578 citations
• Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images (2020) — 302 citations
• Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network (2019) — 409 citations