Yinan Zhao

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 454 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 105 citations into it; #18,928 of 21,575 by trust here, #10,677 by citations
• Artificial Intelligence — 40 citations into it
• Multimodal Learning — 26 citations into it
• Evaluation & Benchmarks — 24 citations into it
• Generative Models — 16 citations into it; #1,728 of 1,956 by trust here, #1,875 by citations
• Natural Language Processing — 14 citations into it
• Computer Graphics and Computer-Aided Design — 7 citations into it; #1,372 of 1,584 by trust here, #1,385 by citations
• Model Architectures — 6 citations into it

Whom Yinan Zhao trusts overall

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

1. Alexei A. Efros
2. Diederik P. Kingma
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Kaiming He
7. Andrew Zisserman
8. Yoshua Bengio
9. Ross B. Girshick
10. Yann LeCun

Who trusts Yinan Zhao overall

1. Youngjoo Jo
2. Lisai Zhang
3. Omar ElHarrouss
4. Jongyoul Park
5. Chongyan Chen
6. Qingcai Chen
7. Noor Almaadeed
8. Matteo Stefanini

Papers from Yinan Zhao's perspective

Ordered by how strongly the researchers Yinan Zhao 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
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

• Captioning Images Taken by People Who Are Blind (2020) — 219 citations
• Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP (2022) — 767 citations
• Guided Image Inpainting: Replacing an Image Region by Pulling Content From Another Image (2018) — 43 citations