Wenxiang Cong

Computer Vision and Pattern Recognition · 2005–2018

A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Radiology, Nuclear Medicine and Imaging — 28 citations into it
• Artificial Intelligence — 20 citations into it
• Biomedical Engineering — 19 citations into it
• Optimization & Training — 9 citations into it

Whom Wenxiang Cong trusts overall

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

1. Diederik P. Kingma

Papers from Wenxiang Cong's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Layer Normalization
7. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• 3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network (2018) — 392 citations
• CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE) (2018) — 479 citations
• Practical reconstruction method for bioluminescence tomography. (2005) — 319 citations