Chang Chen

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 17 citations into it
• Generative Models — 16 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• 3D Vision & Pose — 10 citations into it

Whom Chang Chen trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Eric Crawford
4. Danilo Jimenez Rezende
5. J. Urgen Schmidhuber
6. Yoshua Bengio
7. Klaus Greff
8. Alex Krizhevsky
9. Sjoerd van Steenkiste
10. Yann LeCun

Who trusts Chang Chen overall

1. Mehdi S. M. Sajjadi
2. Klaus Greff

Papers from Chang Chen's perspective

Ordered by how strongly the researchers Chang Chen 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• ROOTS: Object-Centric Representation and Rendering of 3D Scenes (2020) — 57 citations