Ali Punjani
Computer Vision and Pattern Recognition · 2012–2020
A researcher in the Science corpus: 5 papers; trusts 204 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 38 citations into it; #6,339 of 21,575 by trust here, #10,677 by citations
- Structural Biology — 22 citations into it; #37 of 224 by trust here, #122 by citations
- Artificial Intelligence — 19 citations into it; #22,041 of 35,345 by trust here, #28,481 by citations
- Information Retrieval & Search — 18 citations into it; #275 of 1,022 by trust here, #492 by citations
- Molecular Biology — 16 citations into it; #6,021 of 17,773 by trust here, #13,891 by citations
- Surfaces, Coatings and Films — 16 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Aerospace Engineering — 10 citations into it; #1,053 of 6,421 by trust here, #2,026 by citations
Whom Ali Punjani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Sjors H. W. Scheres
- Geoffrey E. Hinton
- Radford M. Neal
- N. Grigorieff
- Adam Coates
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Andrew Y. Ng
Who trusts Ali Punjani overall
- Steve L. Bonilla
- Kurtland Chua
- Mingsheng Long
- Néstor Sampedro Vallina
- David J. Fleet
- J. Beton
- Sergey Levine
- Guanya Shi
- Mohammad Norouzi
- Ewan K. S. McRae
Papers from Ali Punjani's perspective
Ordered by how strongly the researchers Ali Punjani 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Fast search in Hamming space with multi-index hashing (2012) — 291 citations
- Fast Exact Search in Hamming Space With Multi-Index Hashing (2013) — 171 citations
- 3D Variability Analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM (2020) — 808 citations
- Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction (2019) — 1,477 citations
- Deep learning helicopter dynamics models (2015) — 190 citations