Zetao Chen
Computer Vision and Pattern Recognition · 2014–2017
A researcher in the Science corpus: 4 papers; trusts 270 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 82 citations into it; #11,004 of 21,575 by trust here, #10,010 by citations
- Artificial Intelligence — 32 citations into it; #29,816 of 35,345 by trust here, #18,586 by citations
- Aerospace Engineering — 23 citations into it; #3,080 of 6,421 by trust here, #4,205 by citations
- Evaluation & Benchmarks — 15 citations into it
- Optimization & Training — 5 citations into it
Whom Zetao Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- David G. Lowe
- Ross B. Girshick
- Geoffrey E. Hinton
- Kaiming He
- Yann LeCun
- Jeff Donahue
- Ilya Sutskever
- Yoshua Bengio
- Jia Deng
Who trusts Zetao Chen overall
- Niko Sünderhauf
- Lei Tai
- Ingmar Kanitscheider
- Tayyab Naseer
- Stephanie M. Lowry
- Sareh Abolahrari Shirazi
- Ila Rani Fiete
- Feras Dayoub
- Michael Milford
- Poojan Oza
Papers from Zetao Chen's perspective
Ordered by how strongly the researchers Zetao 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Generative OpenMax for Multi-Class Open Set Classification (2017) — 469 citations
- Convolutional Neural Network-based Place Recognition (2014) — 276 citations
- Deep learning features at scale for visual place recognition (2017) — 359 citations
- weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming (2017) — 309 citations