Katerina Fragkiadaki

Author

Carnegie Mellon University

Also Known As

Fragkiadaki, Katerina, K. Fragkiadaki, Katerina Fragkiadaki, Yan, Honglei, van Steenkiste, Sjoerd

114

Publications

3.4K

Citations

H-Index

Concepts

All Affiliations

Carnegie Mellon University University of California, Berkeley Universidad de Los Andes University of Pennsylvania Meta (United States)

About

Katerina Fragkiadaki is an author at Carnegie Mellon University specializing in engineering, machine vision, and computer vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	22	2.3K
2	Natural Sciences	3	3	78
3	Language Studies	2	2	37
4	Social Sciences	2	2	956
5	Health Sciences	1	1	19

Katerina Fragkiadaki

Publications

2.9K

Citations

H-Index

Page 1

	Year	Citations
Recurrent Network Models for Human Dynamics Katerina Fragkiadaki, Sergey Levine, Panna Felsen, EngineeringMachine LearningHuman Pose Estimation3D Pose EstimationRecurrent Neural Network	2015	883
SfM-Net: Learning of Structure and Motion from Video Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, arXiv (Cornell University) Object DepthImage AnalysisMachine LearningMachine VisionEngineering	2017	353
Learning to segment moving objects in videos Katerina Fragkiadaki, Pablo Arbeláez, Panna Felsen,	2015	194
Video segmentation by tracing discontinuities in a trajectory embedding Katerina Fragkiadaki, Geng Zhang, Jianbo Shi	2012	186
Self-supervised learning of motion capture Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer, Neural Information Processing Systems EngineeringMachine LearningHuman Pose Estimation3D Pose EstimationDense 3D	2017	162
Self-supervised Learning of Motion Capture Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer, arXiv (Cornell University) EngineeringMachine LearningHuman Pose Estimation3D Pose EstimationDense 3D	2017	131
Human Pose Estimation with Iterative Error Feedback João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Convolutional Neural NetworkEngineeringMachine LearningHuman Pose EstimationObject Segmentation	2016	118
Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? Adam W. Harley, Zhaoyuan Fang, Jie Li,	2023	118
Learning Visual Predictive Models of Physics for Playing Billiards Katerina Fragkiadaki, Pulkit Agrawal, Sergey Levine, arXiv (Cornell University) Artificial IntelligenceGame AiEngineeringCognitive RoboticsIntelligent Systems	2015	113
Learning Visual Predictive Models of Physics for Playing Billiards Katerina Fragkiadaki, Pulkit Agrawal, Sergey Levine, International Conference on Learning Representations Artificial IntelligenceGame AiEngineeringCognitive RoboticsIntelligent Systems	2016	92

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