Pinar Duygulu Sahin
Computer Vision and Pattern Recognition · 2002–2014
A researcher in the Science corpus: 5 papers; trusts 479 researchers and is trusted by 422 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 62 citations into it; #2,042 of 21,575 by trust here, #4,372 by citations
- Artificial Intelligence — 13 citations into it; #6,646 of 35,345 by trust here, #6,911 by citations
- Multimodal Learning — 9 citations into it; #135 of 1,211 by trust here, #209 by citations
- Representation & Self-Supervised Learning — 8 citations into it
- Information Systems — 7 citations into it
- Media Technology — 6 citations into it
- Molecular Biology — 5 citations into it
Whom Pinar Duygulu Sahin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- D.A. Forsyth
- Kobus Barnard
- Li Fei-Fei
- Jianbo Shi
- Andrew Zisserman
- Geoffrey E. Hinton
- Jitendra Malik
- Alex Krizhevsky
- Rob Fergus
Who trusts Pinar Duygulu Sahin overall
- Yansong Feng
- Abhinav Kumar Gupta
- Mirella Lapata
- Li Fei-Fei
- Kristen Grauman
- Yi Yang
- Andrew Zisserman
- Richard Socher
- Li-Jia Li
- Antonio Torralba
Papers from Pinar Duygulu Sahin's perspective
Ordered by how strongly the researchers Pinar Duygulu Sahin 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
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary (2002) — 1,873 citations
- ConceptMap: Mining Noisy Web Data for Concept Learning (2014) — 25 citations
- Automatic multimedia cross-modal correlation discovery (2004) — 546 citations
- Automatic tag expansion using visual similarity for photo sharing websites (2010) — 29 citations
- Matching Words and Pictures (2003) — 1,816 citations