Raffay Hamid
Computer Vision and Pattern Recognition · 2004–2014
A researcher in the Science corpus: 5 papers; trusts 338 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 57 citations into it; #9,533 of 21,575 by trust here, #8,612 by citations
- Artificial Intelligence — 21 citations into it
- Statistical and Nonlinear Physics — 14 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Aerospace Engineering — 6 citations into it
- Statistical Learning Theory — 6 citations into it
- Signal Processing — 6 citations into it; #5,158 of 7,572 by trust here, #3,784 by citations
- Media Technology — 5 citations into it
Whom Raffay Hamid trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin
- Alex Krizhevsky
- Yoshua Bengio
- Geoffrey E. Hinton
- Yann LeCun
- Joel A. Tropp
- W. Hoeffding
- Antonio Torralba
- Bernhard Schölkopf
- Quoc V. Le
Who trusts Raffay Hamid overall
- Haim Avron
- Alessandro Rudi
- Simone Scardapane
- Dmitry Storcheus
- David Lopez-Paz
- Lorenzo Rosasco
- Michael Gygli
- Kaiyang Zhou
- Dianhui Wang
- Behrooz Mahasseni
Papers from Raffay Hamid's perspective
Ordered by how strongly the researchers Raffay Hamid 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
- 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
- Learning Multiple Layers of Features from Tiny Images
Their papers
- What makes an image popular? (2014) — 373 citations
- Large-Scale Video Summarization Using Web-Image Priors (2013) — 308 citations
- Compact Random Feature Maps (2013) — 88 citations
- Palette power: enabling visual search through colors (2013) — 20 citations
- a CAPpella: programming by demonstration of context-aware applications (2004) — 297 citations