Peng Wang

Computer Vision and Pattern Recognition · with Shi · 2023

A researcher in the Science corpus: 2 papers; trusts 257 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it; #9,524 of 21,575 by trust here, #11,083 by citations
• Computer Graphics and Computer-Aided Design — 44 citations into it; #591 of 1,584 by trust here, #659 by citations
• Computational Mechanics — 31 citations into it
• Generative Models — 17 citations into it
• Multimodal Learning — 10 citations into it
• Artificial Intelligence — 8 citations into it
• 3D Vision & Pose — 6 citations into it

Whom Peng Wang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Michael Niemeyer
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Tim Salimans
8. Alec Radford
9. Yann LeCun
10. Eric Chan

Who trusts Peng Wang overall

1. Jiaxiang Tang
2. Jiale Xu
3. Ruiqi Gao
4. Weihao Cheng
5. Zhaoxi Chen
6. Aleksander Holynski
7. Yiming Gao
8. Xiaokang Chen
9. Zilong Chen
10. Philipp Henzler

Papers from Peng Wang's perspective

Ordered by how strongly the researchers Peng 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• MVDream: Multi-view Diffusion for 3D Generation (2023) — 1,054 citations
• ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation (2023) — 297 citations