Wenjing Jia

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 31 citations into it

Whom Wenjing Jia trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Christian Szegedy
5. Matthew D. Zeiler
6. Yoshua Bengio
7. Nitish Srivastava
8. Yann LeCun
9. Karen Simonyan
10. Ross B. Girshick

Who trusts Wenjing Jia overall

1. Adnan Qayyum

Papers from Wenjing Jia's perspective

Ordered by how strongly the researchers Wenjing Jia 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges (2019) — 1,522 citations