Fereshteh Sadeghi
Computer Vision and Pattern Recognition · 2014–2018
A researcher in the Science corpus: 5 papers; trusts 718 researchers and is trusted by 1,073 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 93 citations into it; #1,311 of 21,575 by trust here, #3,280 by citations
- Artificial Intelligence — 66 citations into it
- Reinforcement Learning — 37 citations into it
- Aerospace Engineering — 28 citations into it; #176 of 6,421 by trust here, #559 by citations
- Control and Systems Engineering — 23 citations into it
- Robotics & Control — 21 citations into it; #23 of 609 by trust here, #98 by citations
- Representation & Self-Supervised Learning — 16 citations into it
- Media Technology — 9 citations into it
Whom Fereshteh Sadeghi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Diederik P. Kingma
- Sergey Levine
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Yann LeCun
- Andrew Zisserman
- Yoshua Bengio
- Kaiming He
Who trusts Fereshteh Sadeghi overall
- Sergey Levine
- Lei Tai
- Pieter Abbeel
- OpenAI
- Chelsea Finn
- Abhinav Kumar Gupta
- Lerrel Pinto
- Aravind Rajeswaran
- Saurabh Gupta
- Henry Zhu
Papers from Fereshteh Sadeghi's perspective
Ordered by how strongly the researchers Fereshteh Sadeghi 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- 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
- (CAD)$^2$RL: Real Single-Image Flight without a Single Real Image (2016) — 898 citations
- VisKE: Visual knowledge extraction and question answering by visual verification of relation phrases (2015) — 124 citations
- Incorporating Scene Context and Object Layout into Appearance Modeling (2014) — 47 citations
- Sim2Real View Invariant Visual Servoing by Recurrent Control (2017) — 102 citations
- Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control (2018) — 76 citations