Peihao Zhu

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 5 papers; trusts 748 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 179 citations into it; #5,412 of 21,575 by trust here, #5,565 by citations
• Generative Models — 141 citations into it; #614 of 1,956 by trust here, #743 by citations
• Artificial Intelligence — 30 citations into it; #34,515 of 35,345 by trust here, #23,731 by citations
• Computer Graphics and Computer-Aided Design — 23 citations into it; #692 of 1,584 by trust here, #526 by citations
• Representation & Self-Supervised Learning — 14 citations into it
• Media Technology — 13 citations into it
• Cognitive Neuroscience — 12 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom Peihao Zhu trusts overall

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

1. Tero Karras
2. Rameen Abdal
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Kaiming He
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Yoshua Bengio
9. Andrew Zisserman
10. Yann LeCun

Who trusts Peihao Zhu overall

1. Yuval Alaluf
2. Rameen Abdal
3. Weihao Xia
4. Zongze Wu
5. Rinon Gal
6. Yotam Nitzan
7. Or Patashnik
8. Anpei Chen
9. Drew A. Hudson
10. Elad Richardson

Papers from Peihao Zhu's perspective

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

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

Their papers

• StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows (2020) — 602 citations
• SEAN: Image Synthesis With Semantic Region-Adaptive Normalization (2019) — 502 citations
• Improved StyleGAN Embedding: Where are the Good Latents? (2020) — 127 citations
• Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks (2021) — 94 citations
• Labels4Free: Unsupervised Segmentation using StyleGAN (2021) — 88 citations