Naureen Mahmood
Computer Vision and Pattern Recognition · 2014–2019
A researcher in the Science corpus: 4 papers; trusts 58 researchers and is trusted by 295 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 51 citations into it; #2,311 of 21,575 by trust here, #3,404 by citations
- Computational Mechanics — 18 citations into it; #980 of 10,001 by trust here, #738 by citations
- Control and Systems Engineering — 15 citations into it; #612 of 8,257 by trust here, #396 by citations
- Evaluation & Benchmarks — 9 citations into it
Whom Naureen Mahmood trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- N. Troje
- Michael J. Black
- Federica Bogo
- Dragomir Anguelov
- Jorge Nocedal
- Brett Allen
- Ijaz Akhter
- Javier Romero
- Tianye Li
- Meinard Müller
Who trusts Naureen Mahmood overall
- Michael J. Black
- Guy Tevet
- Mathis Petrovich
- Gyeongsik Moon
- Chuan Guo
- Hongsuk Choi
- Wenjie Zhu
- Yonatan Shafir
- Zhengyi Luo
- Zerong Zheng
Papers from Naureen Mahmood's perspective
Ordered by how strongly the researchers Naureen Mahmood 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
- Et al
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Learning from Synthetic Humans (2017) — 1,053 citations
- SMPL (2015) — 4,375 citations
- AMASS: Archive of Motion Capture As Surface Shapes (2019) — 1,942 citations
- MoSh (2014) — 235 citations