Jiancong Wang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 7 citations into it

Whom Jiancong Wang trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Sergey Ioffe
5. Ross B. Girshick
6. Alex Krizhevsky
7. Shaoqing Ren
8. Christian Szegedy
9. Yoshua Bengio

Papers from Jiancong Wang's perspective

Ordered by how strongly the researchers Jiancong Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Object Placement by Inpainting for Compositional Data Augmentation (2020) — 79 citations