Yizhe Zhu

Computer Vision and Pattern Recognition · with Liu · 2017–2022

A researcher in the Science corpus: 3 papers; trusts 482 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 110 citations into it; #14,862 of 21,575 by trust here, #9,435 by citations
• Generative Models — 72 citations into it; #1,405 of 1,956 by trust here, #1,085 by citations
• Artificial Intelligence — 47 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Media Technology — 8 citations into it
• Model Architectures — 5 citations into it

Whom Yizhe Zhu trusts overall

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

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

Who trusts Yizhe Zhu overall

1. Vinay Kumar Verma
2. Kun-Juan Wei
3. Soravit Changpinyo
4. Wei Wang
5. Jie Gui
6. Jingjing Li
7. Farhad Pourpanah
8. Yang Song
9. Qinsheng Zhang
10. Axel Sauer

Papers from Yizhe Zhu's perspective

Ordered by how strongly the researchers Yizhe Zhu 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. ImageNet: A large-scale hierarchical image database
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

• A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts (2017) — 402 citations
• Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis (2021) — 316 citations
• Shifted Diffusion for Text-to-image Generation (2022) — 61 citations