Tao Fang
Computer Vision and Pattern Recognition · 2010–2017
A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 34 citations into it; #9,144 of 21,575 by trust here, #11,083 by citations
- Artificial Intelligence — 11 citations into it
- Media Technology — 10 citations into it; #1,215 of 3,621 by trust here, #1,206 by citations
Whom Tao Fang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tom Fawcett
- Yuhai Wu
- C. Burges
- Matthijs C. Dorst
- Mark A. Hall
- Thomas Blaschke
- Trevor J. Hastie
- Yi Yang
- Marko Robnik-Sikonja
- Zheng Zhao
Who trusts Tao Fang overall
Papers from Tao Fang's perspective
Ordered by how strongly the researchers Tao Fang 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)
- 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
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Face Recognition with Convolutional Neural Networks and subspace learning (2017) — 29 citations
- Measuring the Effectiveness of Various Features for Thematic Information Extraction From Very High Resolution Remote Sensing Imagery (2015) — 28 citations
- Object Classification of Aerial Images With Bag-of-Visual Words (2010) — 190 citations