Wenzheng Chen

Computer Vision and Pattern Recognition · 2016–2022

A researcher in the Science corpus: 5 papers; trusts 426 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 150 citations into it; #15,879 of 21,575 by trust here, #5,507 by citations
• Computer Graphics and Computer-Aided Design — 61 citations into it
• Computational Mechanics — 56 citations into it
• Generative Models — 29 citations into it
• Artificial Intelligence — 26 citations into it
• Aerospace Engineering — 12 citations into it
• Optimization & Training — 5 citations into it

Whom Wenzheng Chen trusts overall

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

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

Who trusts Wenzheng Chen overall

1. Hassan Abu Alhaija
2. Dushyant Mehta
3. Bugra Tekin
4. Grégory Rogez
5. Georgios Pavlakos
6. Hsueh-Ti Derek Liu
7. Shangzhe Wu
8. Oscar Michel
9. Helge Rhodin
10. Siva Karthik Mustikovela

Papers from Wenzheng Chen's perspective

Ordered by how strongly the researchers Wenzheng Chen 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Synthesizing Training Images for Boosting Human 3D Pose Estimation (2016) — 299 citations
• Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (2019) — 398 citations
• Extracting Triangular 3D Models, Materials, and Lighting From Images (2021) — 511 citations
• Fast Interactive Object Annotation With Curve-GCN (2019) — 287 citations
• GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images (2022) — 636 citations