S. M. Ali Eslami - Concepedia

Concepedia

Author

S. M. Ali Eslami

Google (United States)ORCID

Also Known As

Eslami, Ali, Eslami, S. M. Ali, Eslami, Soudabeh, S. M. A. Eslami, S. M. Ali Eslami, Sajad Eslami, Seyed Mohammadali Eslami, Soudabeh Eslami

62

Publications

11.4K

Citations

27

H-Index

125

Concepts

All Affiliations

Google (United States)Google DeepMind (United Kingdom)University of Oxford University of Edinburgh University College London

SM

About

S. M. Ali Eslami is an author at Google (United States) specializing in engineering, deep learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	26	35	11.1K
2	Health Sciences	3	3	190
3	Education	2	2	711
4	Management	2	2	33
5	Language Studies	1	1	86

S. M. Ali Eslami

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39

Publications

11.4K

Citations

27

H-Index

	Year	Citations
The Pascal Visual Object Classes Challenge: A Retrospective Mark Everingham, S. M. Ali Eslami, Luc Van Gool, International Journal of Computer Vision Image AnalysisMachine VisionEngineeringObject CategorizationPattern Recognition	2014	7.1K
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningAutoencodersImage Classification	2019	936
Emergence of Locomotion Behaviours in Rich Environments Nicolas Heess, Dhruva Tb, Sriram Srinivasan, arXiv (Cornell University) Artificial IntelligenceReward FunctionEngineeringEducationMotor Control	2017	667
Neural scene representation and rendering S. M. Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, Science EngineeringMachine LearningScene Representation-the ProcessRepresentation LearningImage Analysis	2018	532
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models S. M. Ali Eslami, Nicolas Heess, Théophane Weber, arXiv (Cornell University) Geometric LearningScene AnalysisEngineeringMachine LearningNeural Network	2016	248
A Probabilistic U-Net for Segmentation of Ambiguous Images Simon Köhl, Bernardino Romera‐Paredes, Clemens Meyer, arXiv (Cornell University) EngineeringMachine LearningAutoencodersImage Sequence AnalysisImage Analysis	2018	151
Attend, infer, repeat: fast scene understanding with generative models S. M. Ali Eslami, Nicolas Heess, Théophane Weber, Geometric LearningScene AnalysisImage AnalysisMachine LearningMachine Vision	2016	131
The Shape Boltzmann Machine: A Strong Model of Object Shape S. M. Ali Eslami, Nicolas Heess, Christopher K. I. Williams, International Journal of Computer Vision Geometric ModelingObject ShapeGeometric LearningMachine VisionMachine Learning	2013	128
Synthesizing Programs for Images using Reinforced Adversarial Learning Yaroslav Ganin, Tejas Kulkarni, I. Babuschkin, arXiv (Cornell University) Artificial IntelligenceMachine VisionMachine LearningData ScienceEngineering	2018	112
Collaboration between clinicians and vision–language models in radiology report generation Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Nature Medicine Artificial IntelligenceIntelligent DiagnosticsDiagnosisRadiologic EducationBoard-certified Radiologists	2024	101

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