Ahmad Humayun
Computer Vision and Pattern Recognition · 2013–2019
A researcher in the Science corpus: 3 papers; trusts 354 researchers and is trusted by 330 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 67 citations into it; #2,218 of 21,575 by trust here, #6,606 by citations
- Artificial Intelligence — 30 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Ahmad Humayun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yuri Boykov
- Pablo Arbeláez
- Piotr Doll'ar
- Jerome H. Friedman
- João Carreira
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Jitendra Malik
- Kaiming He
Who trusts Ahmad Humayun overall
- Jordi Pont-Tuset
- Wenguan Wang
- Shu Kong
- Ross B. Girshick
- Jan Hendrik Hosang
- Pedro H. O. Pinheiro
- Zhengyang Wu
- Jitendra Malik
- Piotr Doll'ar
- Jimei Yang
Papers from Ahmad Humayun's perspective
Ordered by how strongly the researchers Ahmad Humayun 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Video Segmentation by Tracking Many Figure-Ground Segments (2013) — 589 citations
- RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions (2014) — 136 citations
- Incremental Object Learning From Contiguous Views (2019) — 44 citations