Haibo Chen

Computer Vision and Pattern Recognition · with Lin · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it

Whom Haibo Chen trusts

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

1. Alexei A. Efros (in Computer Vision and Pattern Recognition)
2. Trevor Darrell (in Computer Vision and Pattern Recognition)
3. Alexandru Cristian Telea (in Computer Vision and Pattern Recognition)
4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
5. Kaiming He (in Computer Vision and Pattern Recognition)
6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
7. David G. Lowe (in Computer Vision and Pattern Recognition)
8. Antonio Torralba (in Computer Vision and Pattern Recognition)
9. Karen Simonyan (in Computer Vision and Pattern Recognition)
10. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Haibo Chen's perspective

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

1. ImageNet Large Scale Visual Recognition Challenge
2. GENERATIVE ADVERSARIAL NETS
3. Improved Techniques for Training GANs
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Context Encoders: Feature Learning by Inpainting
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Progressive Growing of GANs for Improved Quality, Stability, and Variation
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation (2020) — 200 citations