Gabriel Doyle
Computer Vision and Pattern Recognition · 2010–2015
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it; #12,064 of 21,575 by trust here, #6,206 by citations
- Artificial Intelligence — 17 citations into it; #19,984 of 35,345 by trust here, #28,481 by citations
- Signal Processing — 12 citations into it
Whom Gabriel Doyle trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Gabriel Doyle overall
- Herman Kamper
- Yuxin Peng
- Aren Jansen
- Cuicui Kang
- Kaiye Wang
- Yu-An Chung
- Alexei Baevski
- Maarten Versteegh
- Sharon Goldwater
- Fan Zhu
Papers from Gabriel Doyle's perspective
Ordered by how strongly the researchers Gabriel Doyle trusts endorse each paper. Same corpus, a different order for every researcher.
- Distinctive Image Features from Scale-Invariant Keypoints
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- LIBSVM: A library for support vector machines
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Latent Dirichlet Allocation
Their papers
- A new approach to cross-modal multimedia retrieval (2010) — 1,376 citations
- On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval (2014) — 399 citations
- Unsupervised word discovery from speech using automatic segmentation into syllable-like units (2015) — 83 citations