Yi Fang
Computer Vision and Pattern Recognition · with Zhu · 2015–2016
A researcher in the Science corpus: 4 papers; trusts 136 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 143 citations into it; #14,235 of 21,575 by trust here, #10,154 by citations
- Artificial Intelligence — 61 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
Whom Yi Fang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Raif M. Rustamov
- Yann LeCun
- A. Bronstein
- Pascal Vincent
- Marc'Aurelio Ranzato
- Alex Krizhevsky
- Vinod Nair
- Diederik P. Kingma
Who trusts Yi Fang overall
- Charles Ruizhongtai Qi
- Shuran Song
- Anastasia Ioannidou
- Jianxiong Xiao
- Ayan Sinha
- Asako Kanezaki
- Yiding Yang
- Elisavet Chatzilari
- Mehmet Ersin Yümer
- Andy Zeng
Papers from Yi Fang's perspective
Ordered by how strongly the researchers Yi 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- 3D deep shape descriptor (2015) — 209 citations
- Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval (2015) — 138 citations
- From handcrafted to learned representations for human action recognition: A survey (2016) — 133 citations
- Dual many-to-one-encoder-based transfer learning for cross-dataset human action recognition (2016) — 36 citations