Baback Moghaddam
Computer Vision and Pattern Recognition · 2000–2009
A researcher in the Science corpus: 5 papers; trusts 25 researchers and is trusted by 212 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it; #2,499 of 21,575 by trust here, #10,905 by citations
- Artificial Intelligence — 7 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
- Statistical Learning Theory — 6 citations into it
Whom Baback Moghaddam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark A. Kramer
- Peter N. Belhumeur
- Vladimir Naumovich Vapni
- Michael E. Tipping
- Brendan J. Frey
- Matthew A. Turk
- Geoffrey E. Hinton
- Bernhard Schölkopf
- Albert Y. Kim
- João Pedra Hespanha
Who trusts Baback Moghaddam overall
- Xiaogang Wang
- Shaohua Kevin Zhou
- Caifeng Shan
- Ming Li
- Kristen Grauman
- Xiaoou Tang
- Xudong Jiang
- Shuicheng Yan
- Xiaofei He
- Ramalingam Chellappa
Papers from Baback Moghaddam's perspective
Ordered by how strongly the researchers Baback Moghaddam 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Principal Manifolds and Probabilistic Subspaces for Visual Recognition (2002) — 347 citations
- Visual tracking and recognition using appearance-adaptive models in particle filters (2004) — 743 citations
- Results of the GREAT08 Challenge?: an image analysis competition for cosmological lensing: Results o (2009) — 154 citations
- Learning Gender with Support Faces (2002) — 662 citations
- Gender classification with support vector machines (2000) — 335 citations