Zili Yi

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 3 papers; trusts 300 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it; #4,135 of 21,575 by trust here, #3,713 by citations
• Generative Models — 49 citations into it; #486 of 1,956 by trust here, #406 by citations
• Artificial Intelligence — 15 citations into it
• Computer Graphics and Computer-Aided Design — 10 citations into it
• Optimization & Training — 6 citations into it

Whom Zili Yi trusts overall

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

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

Who trusts Zili Yi overall

1. Mei Wang
2. Mohammad Rostami
3. Yongjun Hong
4. Jun-Yan Zhu
5. Chunyuan Li
6. Sagie Benaim
7. Garrett Wilson
8. Xingchao Peng
9. Taesung Park
10. Weihong Deng

Papers from Zili Yi's perspective

Ordered by how strongly the researchers Zili Yi 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
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

• DualGAN: Unsupervised Dual Learning for Image-to-Image Translation (2017) — 2,103 citations
• Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting (2020) — 349 citations
• CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP (2022) — 95 citations