Syed Zain Masood
Computer Vision and Pattern Recognition · 2011–2017
A researcher in the Science corpus: 3 papers; trusts 159 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 51 citations into it; #10,924 of 21,575 by trust here, #7,657 by citations
- Artificial Intelligence — 14 citations into it; #17,401 of 35,345 by trust here, #11,490 by citations
- Biomedical Engineering — 9 citations into it
- Human-Computer Interaction — 9 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Syed Zain Masood trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul A. Viola
- Jingen Liu
- John D. Lafferty
- Leonid Sigal
- Pedro F. Felzenszwalb
- Weilong Yang
- Ross B. Girshick
- Jerome H. Friedman
- Mubarak Shah
- Peng Guan
Who trusts Syed Zain Masood overall
- Fei Han
- Xiaodong Yang
- Hao Zhang
- Xinbo Jiang
- Tao Hu
- J. Laviola
- Liliana Lo Presti
- Fatemeh Noroozi
- Yingli Tian
- Terrance Devries
Papers from Syed Zain Masood's perspective
Ordered by how strongly the researchers Syed Zain Masood 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Exploring the Trade-off Between Accuracy and Observational Latency in Action Recognition (2012) — 256 citations
- Measuring and reducing observational latency when recognizing actions (2011) — 37 citations
- DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network (2017) — 104 citations