Weixuan 'Vincent' Chen
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 16 citations into it
- Artificial Intelligence — 11 citations into it
- Biomedical Engineering — 10 citations into it; #1,637 of 10,734 by trust here, #9,262 by citations
- Cardiology and Cardiovascular Medicine — 6 citations into it; #55 of 906 by trust here, #730 by citations
Whom Weixuan 'Vincent' Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew D. Zeiler
- G. de Haan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Nitish Srivastava
- Wenjin Wang
- Yoshua Bengio
- Ming-Zher Poh
- Guha Balakrishnan
- Ilya Sutskever
Who trusts Weixuan 'Vincent' Chen overall
- Zitong Yu
- Umur Aybars Ciftci
- Xuesong Niu
- Xin Liu
- Xiaobai Li
- Andre Esteva
- Ilke Demir
- Guoying Zhao
- Shiguang Shan
- Josh Fromm
Papers from Weixuan 'Vincent' Chen's perspective
Ordered by how strongly the researchers Weixuan 'Vincent' Chen 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks (2018) — 647 citations