Jiaxin Cheng

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 14 citations into it
• Model Architectures — 8 citations into it

Whom Jiaxin Cheng trusts overall

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

1. Kaiming He
2. François Chollet
3. Davis E. King
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Jeff Donahue
7. Alex Krizhevsky
8. Yoshua Bengio
9. Andrew Zisserman
10. Ross B. Girshick

Who trusts Jiaxin Cheng overall

1. Thanh Thi Nguyen
2. Kaede Shiohara
3. Sohail Ahmed Khan
4. Hasam Khalid

Papers from Jiaxin Cheng's perspective

Ordered by how strongly the researchers Jiaxin Cheng 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. GENERATIVE ADVERSARIAL NETS
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Recurrent Convolutional Strategies for Face Manipulation Detection in Videos (2019) — 581 citations