Aisha Urooj Khan
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 292 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 26 citations into it; #7,282 of 21,575 by trust here, #19,766 by citations
- Human-Computer Interaction — 8 citations into it; #390 of 2,253 by trust here, #1,964 by citations
- Artificial Intelligence — 5 citations into it
Whom Aisha Urooj Khan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alireza Fathi
- Vladimir Kolmogorov
- James M. Rehg
- Yuri Boykov
- Andrew Zisserman
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Ross B. Girshick
- Sven Bambach
Who trusts Aisha Urooj Khan overall
- Fanqing Lin
- Minjie Cai
- Lingzhi Zhang
- Sangpil Kim
- Roy Shilkrot
- Tony R. Martinez
- Feng Lu
- Shenghao Zhou
- Xiao Hu
- Supreeth Narasimhaswamy
Papers from Aisha Urooj Khan's perspective
Ordered by how strongly the researchers Aisha Urooj Khan 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
- 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)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Analysis of Hand Segmentation in the Wild (2018) — 99 citations