Wenjing Bian

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 71 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Computer Graphics and Computer-Aided Design — 17 citations into it
• Computational Mechanics — 11 citations into it
• Media Technology — 6 citations into it

Whom Wenjing Bian trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Geoffrey E. Hinton
4. René Ranftl
5. Andrew Zisserman
6. Alex Krizhevsky
7. Kaiming He
8. Jimmy Ba
9. Yoshua Bengio
10. Yann LeCun

Who trusts Wenjing Bian overall

1. Jiahe Li

Papers from Wenjing Bian's perspective

Ordered by how strongly the researchers Wenjing Bian 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
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

• NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior (2022) — 363 citations