Xiangmin Xu

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2016–2019

A researcher in the Science corpus: 5 papers; trusts 319 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 80 citations into it; #7,123 of 21,575 by trust here, #6,485 by citations
• Artificial Intelligence — 44 citations into it
• Model Architectures — 22 citations into it
• Cognitive Neuroscience — 21 citations into it
• Media Technology — 13 citations into it
• Optimization & Training — 12 citations into it
• Human-Computer Interaction — 9 citations into it
• Social Psychology — 9 citations into it

Whom Xiangmin Xu trusts overall

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

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

Who trusts Xiangmin Xu overall

1. Codruta Orniana Ancuti
2. Wenqi Ren
3. Ruoteng Li
4. Wenhan Yang
5. Cosmin Ancuți
6. Chongyi Li
7. Robby T. Tan
8. Boyi Li
9. Jin-shan Pan
10. Radu Timofte

Papers from Xiangmin Xu's perspective

Ordered by how strongly the researchers Xiangmin Xu 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• DehazeNet: An End-to-End System for Single Image Haze Removal (2016) — 3,049 citations
• Improving Training of Deep Neural Networks via Singular Value Bounding (2016) — 97 citations
• Simple to Complex Transfer Learning for Action Recognition (2016) — 58 citations
• GCB-Net: Graph Convolutional Broad Network and Its Application in Emotion Recognition (2019) — 329 citations
• A Review of Emotion Recognition Using Physiological Signals (2018) — 813 citations