Yingying Wang

Computer Vision and Pattern Recognition · with Cai · 2019

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #19,416 of 21,575 by trust here, #13,815 by citations

Whom Yingying Wang trusts overall

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

1. Ross B. Girshick
2. Kaiming He

Who trusts Yingying Wang overall

1. Gyeongsik Moon
2. Kyoung Mu Lee

Papers from Yingying Wang's perspective

Ordered by how strongly the researchers Yingying 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. Et al
4. Microsoft COCO: Common Objects in Context
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• 3D Hand Shape and Pose Estimation From a Single RGB Image (2019) — 504 citations