Sajad Saeedi
Aerospace Engineering · 2014–2018
A researcher in the Science corpus: 3 papers; trusts 63 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 73 citations into it; #5,416 of 6,421 by trust here, #2,367 by citations
- Computer Vision and Pattern Recognition — 60 citations into it
- Electrical and Electronic Engineering — 24 citations into it; #12,946 of 16,539 by trust here, #10,998 by citations
- Computer Networks and Communications — 20 citations into it
- Artificial Intelligence — 18 citations into it
- Geology — 12 citations into it
- Ocean Engineering — 11 citations into it; #2,647 of 3,193 by trust here, #1,422 by citations
- Mechanical Engineering — 7 citations into it
Whom Sajad Saeedi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastian Thrun
- Andrew Howard
- Wolfram Burgard
- Giorgio Grisetti
- Dirk Hähnel
- H. F. Durrant-Whyte
- Frank Dellaert
- Ronald P. S. Mahler
- Andrea Censi
- Rainer Kümmerle
Who trusts Sajad Saeedi overall
Papers from Sajad Saeedi's perspective
Ordered by how strongly the researchers Sajad Saeedi 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset (2018) — 256 citations
- Multiple‐Robot Simultaneous Localization and Mapping: A Review (2016) — 313 citations
- AUV Navigation and Localization: A Review (2014) — 1,423 citations