Juan Cheng

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it; #12,250 of 21,575 by trust here, #16,787 by citations
• Media Technology — 31 citations into it; #1,068 of 3,621 by trust here, #1,598 by citations
• Cognitive Neuroscience — 13 citations into it
• Experimental and Cognitive Psychology — 13 citations into it
• Model Architectures — 11 citations into it
• Aerospace Engineering — 5 citations into it; #4,224 of 6,421 by trust here, #4,388 by citations

Whom Juan Cheng trusts overall

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

1. Yu Liu
2. Shutao Li
3. Yann LeCun
4. Diederik P. Kingma
5. Bin Yang
6. Geoffrey E. Hinton
7. Sepp Hochreiter
8. Yoshua Bengio
9. Sergey Zagoruyko
10. L. Eon Bottou

Who trusts Juan Cheng overall

1. Jiayi Ma
2. Han Xu
3. Hao Zhang
4. Wei Tang
5. Xingchen Zhang

Papers from Juan Cheng's perspective

Ordered by how strongly the researchers Juan Cheng trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2023) — 485 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