Caixia Gan

Computer Vision and Pattern Recognition · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it

Whom Caixia Gan trusts overall

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

1. Jaume Amores

Papers from Caixia Gan's perspective

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

1. Going deeper with convolutions
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
7. A Threshold Selection Method from Gray-Level Histograms
8. ImageNet Large Scale Visual Recognition Challenge
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. A Theoretical Analysis of Feature Pooling in Visual Recognition

Their papers

• Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis (2020) — 373 citations