Xun Chen

Computer Vision and Pattern Recognition · Information Fusion · 2016–2023

A researcher in the Science corpus: 9 papers; trusts 204 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 169 citations into it; #4,287 of 21,575 by trust here, #5,333 by citations
• Media Technology — 139 citations into it; #271 of 3,621 by trust here, #332 by citations
• Artificial Intelligence — 29 citations into it
• Aerospace Engineering — 28 citations into it; #4,222 of 6,421 by trust here, #4,388 by citations
• Model Architectures — 23 citations into it
• Computational Mechanics — 18 citations into it
• Biomedical Engineering — 14 citations into it; #2,081 of 10,734 by trust here, #5,712 by citations
• Cognitive Neuroscience — 14 citations into it

Whom Xun Chen trusts overall

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

1. Shutao Li
2. Bin Yang
3. Yu Liu
4. Yann LeCun
5. Gemma Piella
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Yoshua Bengio
9. Kaiming He
10. Evan Shelhamer

Who trusts Xun Chen overall

1. Hui Li
2. Jiayi Ma
3. Han Xu
4. Xiaojun Wu
5. Hao Zhang
6. Wei Tang
7. Junjun Jiang
8. Yu Liu
9. Linfeng Tang
10. Josef Kittler

Papers from Xun Chen's perspective

Ordered by how strongly the researchers Xun Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
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

• Image Fusion With Convolutional Sparse Representation (2016) — 870 citations
• Privacy-Preserving Domain Adaptation for Intracranial EEG Classification via Information Maximization and Gaussian Mixture Model (2023)
• EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2023) — 485 citations
• Multi-view 3D Reconstruction with Transformers (2021) — 115 citations
• Medical Image Fusion With Parameter-Adaptive Pulse Coupled Neural Network in Nonsubsampled Shearlet Transform Domain (2019) — 487 citations
• Deep learning for pixel-level image fusion: Recent advances and future prospects (2018) — 655 citations
• Infrared and visible image fusion with convolutional neural networks (2017) — 417 citations
• A medical image fusion method based on convolutional neural networks (2017) — 370 citations
• Multi-focus image fusion with a deep convolutional neural network (2017) — 1,234 citations