Mingkuan Yuan

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 978 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 104 citations into it; #19,489 of 21,575 by trust here, #15,529 by citations
• Generative Models — 45 citations into it
• Artificial Intelligence — 42 citations into it
• Multimodal Learning — 16 citations into it; #1,066 of 1,211 by trust here, #1,190 by citations
• Evaluation & Benchmarks — 11 citations into it
• Media Technology — 8 citations into it
• Optimization & Training — 8 citations into it
• Model Architectures — 7 citations into it

Whom Mingkuan Yuan trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Karen Simonyan
4. Diederik P. Kingma
5. Ilya Sutskever
6. Yoshua Bengio
7. Andrew Zisserman
8. Kaiming He
9. Scott E. Reed
10. Christian Szegedy

Who trusts Mingkuan Yuan overall

1. Yuanen Zhou
2. Jingwen Ye
3. Yuxin Peng
4. Jiadong Liang
5. Ming Tao
6. Meng Wang
7. Yifang Fu
8. Wenjie Pei
9. Minfeng Zhu

Papers from Mingkuan Yuan's perspective

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

Their papers

• Text-to-image Synthesis via Symmetrical Distillation Networks (2018) — 39 citations
• CKD: Cross-Task Knowledge Distillation for Text-to-Image Synthesis (2020) — 70 citations
• SCH-GAN: Semi-Supervised Cross-Modal Hashing by Generative Adversarial Network (2018) — 125 citations