L. Ge
Computer Vision and Pattern Recognition · with Geng · 2014
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it; #15,797 of 21,575 by trust here, #15,162 by citations
Whom L. Ge trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts L. Ge overall
Papers from L. Ge's perspective
Ordered by how strongly the researchers L. Ge trusts endorse each paper. Same corpus, a different order for every researcher.
- A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Context-aware saliency detection (2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition)
- Learning to Detect A Salient Object
- Global contrast based salient region detection (Computer Vision and Pattern Recognition)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Depth saliency based on anisotropic center-surround difference (2014) — 522 citations