Xue Bai
Computer Vision and Pattern Recognition · with Sapiro · 2007–2009
A researcher in the Science corpus: 3 papers; trusts 57 researchers and is trusted by 441 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 44 citations into it; #1,972 of 21,575 by trust here, #5,754 by citations
- Computer Graphics and Computer-Aided Design — 5 citations into it
Whom Xue Bai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anat Levin
- Leo J. Grady
- David G. Lowe
- Yung-Yu Chuang
- Jue Wang
- Yuri Boykov
- Dani Lischinski
- Carsten Rother
- Changjiang Yang
- Vladimir Kolmogorov
Who trusts Xue Bai overall
- Wenguan Wang
- Brian L. Price
- Dim P. Papadopoulos
- Jianbing Shen
- Scott D. Cohen
- Jasper R. R. Uijlings
- Vittorio Ferrari
- Kaiming He
- Philipp Krahenbuhl
- Soumajit Majumder
Papers from Xue Bai's perspective
Ordered by how strongly the researchers Xue Bai trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Distinctive Image Features from Scale-Invariant Keypoints
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Video SnapCut: robust video object cutout using localized classifiers (2009) — 469 citations
- A Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting (2007) — 518 citations
- Geodesic Matting: A Framework for Fast Interactive Image and Video Segmentation and Matting (2009) — 326 citations