Wang Yifan

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 65 citations into it

Whom Wang Yifan trusts overall

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

1. Vincent Sitzmann
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Tero Karras
5. Alex Krizhevsky
6. Kaiming He
7. Yoshua Bengio
8. Yann LeCun
9. Ilya Sutskever
10. Michael Niemeyer

Papers from Wang Yifan's perspective

Ordered by how strongly the researchers Wang Yifan 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. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation (2024) — 333 citations