Xiaobai Chen
Computational Mechanics · 2009–2012
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 28 citations into it; #2,740 of 10,001 by trust here, #2,309 by citations
- Computer Vision and Pattern Recognition — 28 citations into it; #8,443 of 21,575 by trust here, #9,872 by citations
- Computer Graphics and Computer-Aided Design — 22 citations into it; #1,560 of 1,584 by trust here, #1,205 by citations
Whom Xiaobai Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sagi Katz
- Szymon Rusinkiewicz
- F. Attneave
- Ayellet Tal
- Rong Liu
- Michael Garland
- A. Bronstein
- Ran Gal
- Vladislav Kraevoy
- Luis von Ahn
Who trusts Xiaobai Chen overall
- Ameesh Makadia
- Qi-Xing Huang
- Evangelos Kalogerakis
- Kan Guo
- Angel X. Chang
- Mathieu Carrière
- Min Meng
- Michael Rubinstein
- Yunhai Wang
- Leonidas J. Guibas
Papers from Xiaobai Chen's perspective
Ordered by how strongly the researchers Xiaobai Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Et al
Their papers
- A benchmark for 3D mesh segmentation (2009) — 786 citations
- Schelling points on 3D surface meshes (2012) — 140 citations
- Möbius Transformations For Global Intrinsic Symmetry Analysis (2010) — 95 citations