Zongze Wu
Computer Vision and Pattern Recognition · 2020–2022
A researcher in the Science corpus: 4 papers; trusts 781 researchers and is trusted by 85 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 193 citations into it; #3,377 of 21,575 by trust here, #4,174 by citations
- Generative Models — 143 citations into it; #345 of 1,956 by trust here, #448 by citations
- Artificial Intelligence — 41 citations into it
- Representation & Self-Supervised Learning — 25 citations into it; #1,233 of 3,145 by trust here, #1,943 by citations
- Multimodal Learning — 22 citations into it; #497 of 1,211 by trust here, #463 by citations
- Computer Graphics and Computer-Aided Design — 19 citations into it; #371 of 1,584 by trust here, #628 by citations
- Biophysics — 11 citations into it
- Cognitive Neuroscience — 11 citations into it; #2,300 of 10,852 by trust here, #4,616 by citations
Whom Zongze Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tero Karras
- Yujun Shen
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Karen Simonyan
- Ross B. Girshick
- Rameen Abdal
Who trusts Zongze Wu overall
- Yuval Alaluf
- Or Patashnik
- Gwanghyun Kim
- Axel Sauer
- Chenlin Meng
- Yotam Nitzan
- Rinon Gal
- Daniel Cohen-Or
- Konpat Preechakul
- Rameen Abdal
Papers from Zongze Wu's perspective
Ordered by how strongly the researchers Zongze Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS
Their papers
- StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery (2021) — 1,474 citations
- StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation (2020) — 540 citations
- Third Time's the Charm? Image and Video Editing with StyleGAN3 (2022) — 83 citations
- StyleAlign: Analysis and Applications of Aligned StyleGAN Models (2021) — 65 citations