Yu Ji
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it; #21,020 of 21,575 by trust here, #14,822 by citations
Whom Yu Ji trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Yu Ji overall
Papers from Yu Ji's perspective
Ordered by how strongly the researchers Yu Ji trusts endorse each paper. Same corpus, a different order for every researcher.
- Frequency-tuned salient region detection (2009 IEEE Conference on Computer Vision and Pattern Recognition)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Salient Object Detection: A Benchmark
- A unified approach to salient object detection via low rank matrix recovery (2012 IEEE Conference on Computer Vision and Pattern Recognition)
- Going deeper with convolutions
- Image Signature: Highlighting Sparse Salient Regions (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- 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)
- Gradient-based learning applied to document recognition
Their papers
- Saliency Detection on Light Field (2017) — 514 citations