Chao-Yeh Chen
Computer Vision and Pattern Recognition · with Grauman · 2011–2013
A researcher in the Science corpus: 2 papers; trusts 407 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 35 citations into it; #9,515 of 21,575 by trust here, #15,955 by citations
- Artificial Intelligence — 7 citations into it
- Aerospace Engineering — 5 citations into it
- Biomedical Engineering — 5 citations into it
Whom Chao-Yeh Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antonio Torralba
- Ivan Laptev
- Geoffrey E. Hinton
- Hal Daumé Iii
- Jana Kosecka
- Andrew Zisserman
- Li Fei-Fei
- James Hays
- Bangpeng Yao
- Alex Krizhevsky
Who trusts Chao-Yeh Chen overall
- Carl Vondrick
- Hamed Pirsiavash
- Antonio Torralba
- Stephen Roller
- Dinesh Jayaraman
- Kristen Grauman
- Michael Speriosu
- Yusuf Aytar
- Tobias Weyand
Papers from Chao-Yeh Chen's perspective
Ordered by how strongly the researchers Chao-Yeh 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots (2013) — 42 citations
- Clues from the beaten path: Location estimation with bursty sequences of tourist photos (2011) — 41 citations