Xiangtao Zheng

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 214 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Artificial Intelligence — 22 citations into it
• Media Technology — 21 citations into it
• Natural Language Processing — 16 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Multimodal Learning — 7 citations into it
• Aerospace Engineering — 5 citations into it

Whom Xiangtao Zheng trusts overall

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

1. David G. Lowe
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Kaiming He
7. Andrew Zisserman
8. Yann LeCun
9. Diederik P. Kingma
10. Kyunghyun Cho

Papers from Xiangtao Zheng's perspective

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

Their papers

• Spectral-Spatial Attention Networks for Hyperspectral Image Classification (2019) — 570 citations
• Exploring Models and Data for Remote Sensing Image Caption Generation (2017) — 709 citations