Zhendong Wang

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 580 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 161 citations into it; #10,603 of 21,575 by trust here, #8,722 by citations
• Generative Models — 83 citations into it
• Artificial Intelligence — 81 citations into it; #20,408 of 35,345 by trust here, #21,316 by citations
• Media Technology — 27 citations into it; #1,575 of 3,621 by trust here, #1,046 by citations
• Model Architectures — 27 citations into it
• Statistical and Nonlinear Physics — 23 citations into it
• Reinforcement Learning — 22 citations into it
• Probabilistic & Bayesian Methods — 18 citations into it

Whom Zhendong Wang trusts overall

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

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

Who trusts Zhendong Wang overall

1. Xiaohong Huang
2. Yilun Du
3. Tianwei Yin
4. Jing Lin
5. Tsung-Wei Ke
6. Salman Hameed Khan
7. Xiangyu Chen
8. Jeya Maria Jose Valanarasu
9. Syed Waqas Zamir
10. Jingyun Liang

Papers from Zhendong Wang's perspective

Ordered by how strongly the researchers Zhendong Wang 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Uformer: A General U-Shaped Transformer for Image Restoration (2021) — 2,238 citations
• Diffusion-GAN: Training GANs with Diffusion (2022) — 343 citations
• DIRE for Diffusion-Generated Image Detection (2023) — 554 citations
• Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning (2022) — 677 citations